Databricks

big data, analytics, spark

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Spark on steroids, with a side of notebooks. Touted as the go-to platform for unified analytics, Databricks brings managed Spark clusters, collaborative notebooks, and seamless integration with cloud storage under one (expensive) roof. If you’re wrangling massive datasets or running complex ML workflows, it’s a powerful choice—especially for distributed computing without sweating over cluster management.
But let’s not ignore the elephant in the room: Databricks is a jack-of-all-trades but master of none. Its notebooks are decent, though hardly revolutionary. Its SQL features lag behind dedicated warehouses like Snowflake, and costs can escalate quickly if you’re careless with cluster sizing or fail to shut things down.
Ideal for hybrid teams juggling data engineering and data science, but for pure analytics or lightweight ETL? Consider simpler, cheaper alternatives. A brilliant tool if your problems fit its paradigm—just don’t expect it to be your one-size-fits-all solution.

Used together with Databricks

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machine learning engineer Machine Learning Engineer - UK @ prima-assicurazioni GB \| 2025-12-28 This role is a compelling opportunity for a machine learning engineer passionate about building scalable, impactful solutions. The position requires a robust Python background, deep expertise in... read more »	AI/ML, Python, Git, Cloud Computing, AWS, Databricks, IaC, Terraform, CloudFormation, Pulumi, Kubernetes	Machine Learning Engineer - UK prima-assicurazioni (GB) FULL TIME \| JOB LISTED This role is a compelling opportunity for a machine learning engineer passionate about building scalable, impactful solutions. The position requires a robust Python background, deep expertise in ML model development, and experience in software architecture and DDD. The role emphasizes innovation in data engineering, with a focus on tooling and infrastructure as code. While the job description is ambitious, it lacks explicit salary details and does not clearly define the role’s status as an intermediary. The tools and technologies mentioned include Python, ML pipelines, Docker, Terraform, and Kubernetes, but no specific range is provided. Generated content Technology used AI/ML Python Git Cloud Computing AWS Databricks IaC Terraform CloudFormation Pulumi Kubernetes Listed At 2025-12-28 2025-07-31 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Data Scientist II – QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-28 London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production... read more »	Analytics, R, AI/ML, PhD, Computer Science, SQL, Python, Data Science, Big Data, PySpark, Hive, Hadoop, SPSS, SAS, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, GenAI, Management	Data Scientist II – QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production deployment, R&D, and interdepartmental collaboration, plus the sheen of attending ICML/NIPS and presenting at conferences. The core tech bar is what you'd expect: Python, SQL, PySpark, Databricks, Airflow, Kedro, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Familiarity with GenAI is a plus, as is the push to translate analytics into measurable business outcomes. The pitch leans heavily on learning culture, mentorship, and global mobility, which while appealing, can hide a demanding, travel-heavy cadence and a consultancy-style pace. The compensation is described as competitive but no numbers, and the emphasis on leadership growth may outpace job security for practical data engineers. Overall, a platform-heavy role with real data stack leverage but with potential burn rate in time and travel. Generated content Technology used Analytics R AI/ML PhD Computer Science SQL Python Data Science Big Data PySpark Hive Hadoop SPSS SAS Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP GenAI Management Listed At 2025-12-28 2025-10-23 (original listing) Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer II – QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-28 London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular... read more »	Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Scala, Java, Docker, Kubernetes, Spark, Cloud Computing, AWS, Azure, GCP, Pandas, NumPy, Matplotlib, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management	Data Engineer II – QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular pipelines, securing data environments, and prepping data for analytics and AI, with heavy collaboration across data scientists, ML engineers, and senior stakeholders. You’ll work with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask, Docker, Kubernetes, and cloud stacks (AWS/GCP/Azure), with GenAI experience a plus. The bar is real: 2–5+ years, production-grade pipelines, data quality, and DevOps/DataOps/MLOps sensibilities. It’s a high-ambition consulting path with global teams and client-facing exposure; travel is likely. The upside: rapid growth, access to top clients, and hands-on AI adoption at scale; the downside: pressure, ambiguity, and fast-paced learning. Generated content Technology used Analytics AI/ML Data Quality R Data Engineering Agile/Scrum C Computer Science Python Scala Java Docker Kubernetes Spark Cloud Computing AWS Azure GCP Pandas NumPy Matplotlib DevOps DataOps MLOps PySpark SQL Airflow Databricks GenAI Management Listed At 2025-12-28 2025-10-24 (original listing) Permalink View original posting
data engineer Data Engineer @ international-rescue-committee GB \| 2025-12-26 \| GBP 48550 - 58800 / year The IRC seeks a Data Engineer responsible for ETL processes, data quality, and database management within its Marketing Technology team. The role's differentiator lies in supporting a global... read more »	Marketing, Management, CRM, Data Engineering, Analytics, Data Quality, ETL/ELT, SQL, Azure, Databricks, VBA, RDBMS, Data Management, Computer Science, dbt, MongoDB, Agile/Scrum, BI, DWH	Data Engineer international-rescue-committee (GB) FULL TIME \| JOB LISTED The IRC seeks a Data Engineer responsible for ETL processes, data quality, and database management within its Marketing Technology team. The role's differentiator lies in supporting a global organization with a focus on nonprofit data systems, while the risk involves data inconsistencies that could impair decision-making, given the complexity of multiple systems involved. Generated content Technology used Marketing Management CRM Data Engineering Analytics Data Quality ETL/ELT SQL Azure Databricks VBA RDBMS Data Management Computer Science dbt MongoDB Agile/Scrum BI DWH Listed At 2025-12-26 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Data Scientist I - QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-26 McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate... read more »	Analytics, R, AI/ML, PhD, Computer Science, Python, SPSS, SAS, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, GenAI, Management	Data Scientist I - QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate across disciplines, and contribute to internal tooling and R&D while potentially presenting at conferences such as NIPS and ICML. The tech stack is broad: Python and R, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask, RAPIDS, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure); GenAI experience is a strong plus. That breadth offers real early-career growth, but the role is heavy on client work, travel, and cross-geo collaboration with a consulting performance culture. Expect mentorship and visible business impact, but also political nuance and long hours as the price of scale rather than pure product-building excellence. Generated content Technology used Analytics R AI/ML PhD Computer Science Python SPSS SAS PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP GenAI Management Listed At 2025-12-26 2025-10-22 (original listing) Permalink View original posting
data engineer Data Engineer I - QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-26 Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning,... read more »	Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Pandas, NumPy, Matplotlib, Spark, Cloud Computing, AWS, Azure, GCP, Docker, Kubernetes, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management	Data Engineer I - QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning, cross-functional collaboration with data scientists and machine learning engineers, and exposure to a suite of modern tools: Python, PySpark, Databricks, Airflow, Kedro, Dask, and cloud platforms across AWS, Azure, and GCP. What stands out is the explicit emphasis on scalable, reproducible pipelines and secure data environments, plus a taste of GenAI and MLOps culture. The challenge is the haste of high performance cultures and the need to balance rapid iteration with governance for client data. The package leans toward growth and visibility, but the absence of concrete salary bands and the potential travel demand require a buyer beware approach. Generated content Technology used Analytics AI/ML Data Quality R Data Engineering Agile/Scrum C Computer Science Python Pandas NumPy Matplotlib Spark Cloud Computing AWS Azure GCP Docker Kubernetes DevOps DataOps MLOps PySpark SQL Airflow Databricks GenAI Management Listed At 2025-12-26 2025-10-22 (original listing) Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Data Engineering Consultant @ uk-talan GB \| 2025-12-25 An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack... read more »	AI/ML, Data Management, Analytics, PySpark, Spark, AWS, Azure, Cloud Computing, GCP, Data Lake, Python, SQL, GitHub, CI/CD, Databricks, Data Lakehouse, dbt, Git, Management, DevOps, Data Engineering, DWH, Data Modelling, Data Quality, Data Analytics, DataViz, Data Science, BI, IaC, Terraform, Tableau, Power BI, Snowflake	Data Engineering Consultant uk-talan (GB) FULL TIME \| JOB LISTED An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack reads like a field guide: PySpark, Python, SQL, GitHub, and robust DevOps, governance, and scalable data pipelines. It mixes client-facing leadership with cross-team collaboration, which means translating abstractions into repeatable patterns and standards rather than pure coding. On-site client work and travel are baked in, demanding strong communication and relationship management. The upside is real exposure to multi-cloud data platforms and architecture alignment; the downside is consultancy drift; scope creep, governance friction, and the travel toll. It's a solid, technically grounded path for those who want depth beyond buzzwords, with a credible training and growth angle from a reputed employer. Generated content Technology used AI/ML Data Management Analytics PySpark Spark AWS Azure Cloud Computing GCP Data Lake Python SQL GitHub CI/CD Databricks Data Lakehouse dbt Git Management DevOps Data Engineering DWH Data Modelling Data Quality Data Analytics DataViz Data Science BI IaC Terraform Tableau Power BI Snowflake Listed At 2025-12-25 2025-09-30 (original listing) Permalink View original posting
data scientist Senior Machine Learning Engineer - ML Infrastructure @ asos-com GB \| 2025-12-25 ASOS seeks a Senior Machine Learning Engineer to develop reusable templates, deployment patterns, and MLOps tooling aimed at standardizing ML workflows across the organization. The role emphasizes... read more »	AI/ML, MLOps, Marketing, CI/CD, Management, Data Engineering, Python, PyTorch, TensorFlow, Docker, Kubernetes, Cloud Computing, Azure, Spark, Databricks	Senior Machine Learning Engineer - ML Infrastructure asos-com (GB) FULL TIME \| JOB LISTED ASOS seeks a Senior Machine Learning Engineer to develop reusable templates, deployment patterns, and MLOps tooling aimed at standardizing ML workflows across the organization. The role emphasizes collaboration with product teams and integration with data, platform, and security teams. A notable differentiator is the focus on enabling scalability and cost-efficiency in ML infrastructure, with a risk of overemphasizing standardization at the expense of agility. Salary is not specified; hiring likely depends on advanced experience with cloud platforms, ML libraries, and MLOps practices. Generated content Technology used AI/ML MLOps Marketing CI/CD Management Data Engineering Python PyTorch TensorFlow Docker Kubernetes Cloud Computing Azure Spark Databricks Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Senior Data Analyst @ exclaimer GB \| 2025-12-25 Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead... read more »	SaaS, Microsoft, Marketing, Funnel, Power BI, Tableau, DataViz, SQL, Databricks, ADF, Data Engineering, Analytics, BI, Management, Cloud Computing, Azure, Snowflake, BigQuery	Senior Data Analyst exclaimer (GB) FULL TIME \| JOB LISTED Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead scalable data models for the full marketing funnel, apply regression, time‑series and forecasting, design experiments, and translate findings into action while partnering with Data Engineering on a semantic layer. Expect Azure‑lean tooling (Databricks, Azure Data Factory) and familiarity with cloud platforms such as Snowflake or BigQuery. The challenge is juggling attribution, data quality at scale, and cross‑functional governance while keeping dashboards meaningful for business users. The opportunity sits in a growth SaaS vendor with big-name customers and a strong culture, but the posting leaves compensation murky and it isn’t a pure data engineering role. Generated content Technology used SaaS Microsoft Marketing Funnel Power BI Tableau DataViz SQL Databricks ADF Data Engineering Analytics BI Management Cloud Computing Azure Snowflake BigQuery Listed At 2025-12-25 2025-10-20 (original listing) Permalink View original posting
data engineer Data Engineer @ multiplex GB \| 2025-12-24 The Data Engineer role involves maintaining and designing data pipelines, supporting migration from legacy systems, and collaborating on digital transformation efforts. A key differentiator is the... read more »	Analytics, BI, SQL Server, ADF, Power BI, DAX, ETL/ELT, Databricks, Data Quality, Data Engineering, SQL, Management, Data Analytics	Data Engineer multiplex (GB) FULL TIME \| JOB LISTED The Data Engineer role involves maintaining and designing data pipelines, supporting migration from legacy systems, and collaborating on digital transformation efforts. A key differentiator is the focus on migrating to modern data tech stacks like Databricks and ADF. The main risk lies in ensuring data quality and security during migration, which could disrupt reporting if mishandled. The role emphasizes SQL, Power BI, and Azure Data Factory expertise, with familiarity in supporting construction-related analytics, all within a company that values inclusivity, albeit with some dependency on legacy platform support. Generated content Technology used Analytics BI SQL Server ADF Power BI DAX ETL/ELT Databricks Data Quality Data Engineering SQL Management Data Analytics Listed At 2025-12-24 2025-12-02 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Subject Matter Expert - Analytics ( Retail Domain) @ wns-global-services GB \| 2025-12-24 WNS seeks a retail analytics SME with 7+ years' experience to lead loyalty and customer engagement projects for a UK client. The role emphasizes hands-on SQL, Power BI, Azure Databricks work, and... read more »	Management, Analytics, SQL, Power BI, Databricks, Marketing, Data Science	Subject Matter Expert - Analytics ( Retail Domain) wns-global-services (GB) FULL TIME \| JOB LISTED WNS seeks a retail analytics SME with 7+ years' experience to lead loyalty and customer engagement projects for a UK client. The role emphasizes hands-on SQL, Power BI, Azure Databricks work, and offshore team guidance, with a notable focus on practice growth—an asset in this competitive market. A clear risk involves the potential for stakeholder misalignment, given the variety of retail needs. Salary details are not provided, and the role is consultant-level plus in the analytics domain. Generated content Technology used Management Analytics SQL Power BI Databricks Marketing Data Science Listed At 2025-12-24 2025-12-02 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Senior Analytics Engineer @ rockstar-games GB \| 2025-12-23 Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development... read more »	Analytics, Big Data, AI/ML, Data Engineering, Data Quality, Git, CI/CD, Terraform, GitHub, Analytics Engineering, Databricks, Azure, Cloud Computing, Airflow, Astronomer, Computer Science, Python, PySpark, SQL, Agile/Scrum, Management, Data Streaming	Senior Analytics Engineer rockstar-games (GB) FULL TIME \| JOB LISTED Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development with data engineering: build and optimize large-scale pipelines in Databricks/Azure, define data models, implement a Data Quality Framework, and run monitoring and alerting to meet SLAs. You’ll partner with data scientists and business stakeholders, and work with Airflow or Astronomer for orchestration, plus CI/CD pipelines via TeamCity, Terraform, GitHub and Octopus. The stack is cloud-centric and pipeline-heavy, with expectations for PySpark, Python, and advanced SQL. It’s a senior, in-office, career-defining position that promises influence on the global analytics platform but asks you to tame complexity and push for scalable, well-governed data products. It’s not a casual data job, and the hype about cutting-edge tooling is there to backstop solid fundamentals. Generated content Technology used Analytics Big Data AI/ML Data Engineering Data Quality Git CI/CD Terraform GitHub Analytics Engineering Databricks Azure Cloud Computing Airflow Astronomer Computer Science Python PySpark SQL Agile/Scrum Management Data Streaming Listed At 2025-12-23 2025-04-30 (original listing) Similar Jobs Loading... Permalink View original posting

machine learning engineer Machine Learning Engineer - UK @ prima-assicurazioni GB \| 2025-12-28 This role is a compelling opportunity for a machine learning engineer passionate about building scalable, impactful solutions. The position requires a robust Python background, deep expertise in... read more »	AI/ML, Python, Git, Cloud Computing, AWS, Databricks, IaC, Terraform, CloudFormation, Pulumi, Kubernetes	Machine Learning Engineer - UK prima-assicurazioni (GB) FULL TIME \| JOB LISTED This role is a compelling opportunity for a machine learning engineer passionate about building scalable, impactful solutions. The position requires a robust Python background, deep expertise in ML model development, and experience in software architecture and DDD. The role emphasizes innovation in data engineering, with a focus on tooling and infrastructure as code. While the job description is ambitious, it lacks explicit salary details and does not clearly define the role’s status as an intermediary. The tools and technologies mentioned include Python, ML pipelines, Docker, Terraform, and Kubernetes, but no specific range is provided. Generated content Technology used AI/ML Python Git Cloud Computing AWS Databricks IaC Terraform CloudFormation Pulumi Kubernetes Listed At 2025-12-28 2025-07-31 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Data Scientist II – QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-28 London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production... read more »	Analytics, R, AI/ML, PhD, Computer Science, SQL, Python, Data Science, Big Data, PySpark, Hive, Hadoop, SPSS, SAS, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, GenAI, Management	Data Scientist II – QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED London-based Data Scientist II at QuantumBlack promises a fast-track in a high-performance, client-facing lab where ML meets real business impact. The role blends model work with production deployment, R&D, and interdepartmental collaboration, plus the sheen of attending ICML/NIPS and presenting at conferences. The core tech bar is what you'd expect: Python, SQL, PySpark, Databricks, Airflow, Kedro, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure). Familiarity with GenAI is a plus, as is the push to translate analytics into measurable business outcomes. The pitch leans heavily on learning culture, mentorship, and global mobility, which while appealing, can hide a demanding, travel-heavy cadence and a consultancy-style pace. The compensation is described as competitive but no numbers, and the emphasis on leadership growth may outpace job security for practical data engineers. Overall, a platform-heavy role with real data stack leverage but with potential burn rate in time and travel. Generated content Technology used Analytics R AI/ML PhD Computer Science SQL Python Data Science Big Data PySpark Hive Hadoop SPSS SAS Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP GenAI Management Listed At 2025-12-28 2025-10-23 (original listing) Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer II – QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-28 London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular... read more »	Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Scala, Java, Docker, Kubernetes, Spark, Cloud Computing, AWS, Azure, GCP, Pandas, NumPy, Matplotlib, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management	Data Engineer II – QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular pipelines, securing data environments, and prepping data for analytics and AI, with heavy collaboration across data scientists, ML engineers, and senior stakeholders. You’ll work with Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask, Docker, Kubernetes, and cloud stacks (AWS/GCP/Azure), with GenAI experience a plus. The bar is real: 2–5+ years, production-grade pipelines, data quality, and DevOps/DataOps/MLOps sensibilities. It’s a high-ambition consulting path with global teams and client-facing exposure; travel is likely. The upside: rapid growth, access to top clients, and hands-on AI adoption at scale; the downside: pressure, ambiguity, and fast-paced learning. Generated content Technology used Analytics AI/ML Data Quality R Data Engineering Agile/Scrum C Computer Science Python Scala Java Docker Kubernetes Spark Cloud Computing AWS Azure GCP Pandas NumPy Matplotlib DevOps DataOps MLOps PySpark SQL Airflow Databricks GenAI Management Listed At 2025-12-28 2025-10-24 (original listing) Permalink View original posting
data engineer Data Engineer @ international-rescue-committee GB \| 2025-12-26 \| GBP 48550 - 58800 / year The IRC seeks a Data Engineer responsible for ETL processes, data quality, and database management within its Marketing Technology team. The role's differentiator lies in supporting a global... read more »	Marketing, Management, CRM, Data Engineering, Analytics, Data Quality, ETL/ELT, SQL, Azure, Databricks, VBA, RDBMS, Data Management, Computer Science, dbt, MongoDB, Agile/Scrum, BI, DWH	Data Engineer international-rescue-committee (GB) FULL TIME \| JOB LISTED The IRC seeks a Data Engineer responsible for ETL processes, data quality, and database management within its Marketing Technology team. The role's differentiator lies in supporting a global organization with a focus on nonprofit data systems, while the risk involves data inconsistencies that could impair decision-making, given the complexity of multiple systems involved. Generated content Technology used Marketing Management CRM Data Engineering Analytics Data Quality ETL/ELT SQL Azure Databricks VBA RDBMS Data Management Computer Science dbt MongoDB Agile/Scrum BI DWH Listed At 2025-12-26 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Data Scientist I - QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-26 McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate... read more »	Analytics, R, AI/ML, PhD, Computer Science, Python, SPSS, SAS, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, GenAI, Management	Data Scientist I - QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED McKinsey’s Data Scientist I in London promises a client-facing, high-velocity path that blends analytics, code, and real business impact. You’ll translate business needs into models, collaborate across disciplines, and contribute to internal tooling and R&D while potentially presenting at conferences such as NIPS and ICML. The tech stack is broad: Python and R, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask, RAPIDS, Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure); GenAI experience is a strong plus. That breadth offers real early-career growth, but the role is heavy on client work, travel, and cross-geo collaboration with a consulting performance culture. Expect mentorship and visible business impact, but also political nuance and long hours as the price of scale rather than pure product-building excellence. Generated content Technology used Analytics R AI/ML PhD Computer Science Python SPSS SAS PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP GenAI Management Listed At 2025-12-26 2025-10-22 (original listing) Permalink View original posting
data engineer Data Engineer I - QuantumBlack, AI by McKinsey @ quantumblack GB \| 2025-12-26 Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning,... read more »	Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Pandas, NumPy, Matplotlib, Spark, Cloud Computing, AWS, Azure, GCP, Docker, Kubernetes, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management	Data Engineer I - QuantumBlack, AI by McKinsey quantumblack (GB) FULL TIME \| JOB LISTED Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning, cross-functional collaboration with data scientists and machine learning engineers, and exposure to a suite of modern tools: Python, PySpark, Databricks, Airflow, Kedro, Dask, and cloud platforms across AWS, Azure, and GCP. What stands out is the explicit emphasis on scalable, reproducible pipelines and secure data environments, plus a taste of GenAI and MLOps culture. The challenge is the haste of high performance cultures and the need to balance rapid iteration with governance for client data. The package leans toward growth and visibility, but the absence of concrete salary bands and the potential travel demand require a buyer beware approach. Generated content Technology used Analytics AI/ML Data Quality R Data Engineering Agile/Scrum C Computer Science Python Pandas NumPy Matplotlib Spark Cloud Computing AWS Azure GCP Docker Kubernetes DevOps DataOps MLOps PySpark SQL Airflow Databricks GenAI Management Listed At 2025-12-26 2025-10-22 (original listing) Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
data engineer Data Engineering Consultant @ uk-talan GB \| 2025-12-25 An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack... read more »	AI/ML, Data Management, Analytics, PySpark, Spark, AWS, Azure, Cloud Computing, GCP, Data Lake, Python, SQL, GitHub, CI/CD, Databricks, Data Lakehouse, dbt, Git, Management, DevOps, Data Engineering, DWH, Data Modelling, Data Quality, Data Analytics, DataViz, Data Science, BI, IaC, Terraform, Tableau, Power BI, Snowflake	Data Engineering Consultant uk-talan (GB) FULL TIME \| JOB LISTED An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack reads like a field guide: PySpark, Python, SQL, GitHub, and robust DevOps, governance, and scalable data pipelines. It mixes client-facing leadership with cross-team collaboration, which means translating abstractions into repeatable patterns and standards rather than pure coding. On-site client work and travel are baked in, demanding strong communication and relationship management. The upside is real exposure to multi-cloud data platforms and architecture alignment; the downside is consultancy drift; scope creep, governance friction, and the travel toll. It's a solid, technically grounded path for those who want depth beyond buzzwords, with a credible training and growth angle from a reputed employer. Generated content Technology used AI/ML Data Management Analytics PySpark Spark AWS Azure Cloud Computing GCP Data Lake Python SQL GitHub CI/CD Databricks Data Lakehouse dbt Git Management DevOps Data Engineering DWH Data Modelling Data Quality Data Analytics DataViz Data Science BI IaC Terraform Tableau Power BI Snowflake Listed At 2025-12-25 2025-09-30 (original listing) Permalink View original posting
data scientist Senior Machine Learning Engineer - ML Infrastructure @ asos-com GB \| 2025-12-25 ASOS seeks a Senior Machine Learning Engineer to develop reusable templates, deployment patterns, and MLOps tooling aimed at standardizing ML workflows across the organization. The role emphasizes... read more »	AI/ML, MLOps, Marketing, CI/CD, Management, Data Engineering, Python, PyTorch, TensorFlow, Docker, Kubernetes, Cloud Computing, Azure, Spark, Databricks	Senior Machine Learning Engineer - ML Infrastructure asos-com (GB) FULL TIME \| JOB LISTED ASOS seeks a Senior Machine Learning Engineer to develop reusable templates, deployment patterns, and MLOps tooling aimed at standardizing ML workflows across the organization. The role emphasizes collaboration with product teams and integration with data, platform, and security teams. A notable differentiator is the focus on enabling scalability and cost-efficiency in ML infrastructure, with a risk of overemphasizing standardization at the expense of agility. Salary is not specified; hiring likely depends on advanced experience with cloud platforms, ML libraries, and MLOps practices. Generated content Technology used AI/ML MLOps Marketing CI/CD Management Data Engineering Python PyTorch TensorFlow Docker Kubernetes Cloud Computing Azure Spark Databricks Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Senior Data Analyst @ exclaimer GB \| 2025-12-25 Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead... read more »	SaaS, Microsoft, Marketing, Funnel, Power BI, Tableau, DataViz, SQL, Databricks, ADF, Data Engineering, Analytics, BI, Management, Cloud Computing, Azure, Snowflake, BigQuery	Senior Data Analyst exclaimer (GB) FULL TIME \| JOB LISTED Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead scalable data models for the full marketing funnel, apply regression, time‑series and forecasting, design experiments, and translate findings into action while partnering with Data Engineering on a semantic layer. Expect Azure‑lean tooling (Databricks, Azure Data Factory) and familiarity with cloud platforms such as Snowflake or BigQuery. The challenge is juggling attribution, data quality at scale, and cross‑functional governance while keeping dashboards meaningful for business users. The opportunity sits in a growth SaaS vendor with big-name customers and a strong culture, but the posting leaves compensation murky and it isn’t a pure data engineering role. Generated content Technology used SaaS Microsoft Marketing Funnel Power BI Tableau DataViz SQL Databricks ADF Data Engineering Analytics BI Management Cloud Computing Azure Snowflake BigQuery Listed At 2025-12-25 2025-10-20 (original listing) Permalink View original posting
data engineer Data Engineer @ multiplex GB \| 2025-12-24 The Data Engineer role involves maintaining and designing data pipelines, supporting migration from legacy systems, and collaborating on digital transformation efforts. A key differentiator is the... read more »	Analytics, BI, SQL Server, ADF, Power BI, DAX, ETL/ELT, Databricks, Data Quality, Data Engineering, SQL, Management, Data Analytics	Data Engineer multiplex (GB) FULL TIME \| JOB LISTED The Data Engineer role involves maintaining and designing data pipelines, supporting migration from legacy systems, and collaborating on digital transformation efforts. A key differentiator is the focus on migrating to modern data tech stacks like Databricks and ADF. The main risk lies in ensuring data quality and security during migration, which could disrupt reporting if mishandled. The role emphasizes SQL, Power BI, and Azure Data Factory expertise, with familiarity in supporting construction-related analytics, all within a company that values inclusivity, albeit with some dependency on legacy platform support. Generated content Technology used Analytics BI SQL Server ADF Power BI DAX ETL/ELT Databricks Data Quality Data Engineering SQL Management Data Analytics Listed At 2025-12-24 2025-12-02 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Subject Matter Expert - Analytics ( Retail Domain) @ wns-global-services GB \| 2025-12-24 WNS seeks a retail analytics SME with 7+ years' experience to lead loyalty and customer engagement projects for a UK client. The role emphasizes hands-on SQL, Power BI, Azure Databricks work, and... read more »	Management, Analytics, SQL, Power BI, Databricks, Marketing, Data Science	Subject Matter Expert - Analytics ( Retail Domain) wns-global-services (GB) FULL TIME \| JOB LISTED WNS seeks a retail analytics SME with 7+ years' experience to lead loyalty and customer engagement projects for a UK client. The role emphasizes hands-on SQL, Power BI, Azure Databricks work, and offshore team guidance, with a notable focus on practice growth—an asset in this competitive market. A clear risk involves the potential for stakeholder misalignment, given the variety of retail needs. Salary details are not provided, and the role is consultant-level plus in the analytics domain. Generated content Technology used Management Analytics SQL Power BI Databricks Marketing Data Science Listed At 2025-12-24 2025-12-02 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Senior Analytics Engineer @ rockstar-games GB \| 2025-12-23 Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development... read more »	Analytics, Big Data, AI/ML, Data Engineering, Data Quality, Git, CI/CD, Terraform, GitHub, Analytics Engineering, Databricks, Azure, Cloud Computing, Airflow, Astronomer, Computer Science, Python, PySpark, SQL, Agile/Scrum, Management, Data Streaming	Senior Analytics Engineer rockstar-games (GB) FULL TIME \| JOB LISTED Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development with data engineering: build and optimize large-scale pipelines in Databricks/Azure, define data models, implement a Data Quality Framework, and run monitoring and alerting to meet SLAs. You’ll partner with data scientists and business stakeholders, and work with Airflow or Astronomer for orchestration, plus CI/CD pipelines via TeamCity, Terraform, GitHub and Octopus. The stack is cloud-centric and pipeline-heavy, with expectations for PySpark, Python, and advanced SQL. It’s a senior, in-office, career-defining position that promises influence on the global analytics platform but asks you to tame complexity and push for scalable, well-governed data products. It’s not a casual data job, and the hype about cutting-edge tooling is there to backstop solid fundamentals. Generated content Technology used Analytics Big Data AI/ML Data Engineering Data Quality Git CI/CD Terraform GitHub Analytics Engineering Databricks Azure Cloud Computing Airflow Astronomer Computer Science Python PySpark SQL Agile/Scrum Management Data Streaming Listed At 2025-12-23 2025-04-30 (original listing) Similar Jobs Loading... Permalink View original posting

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Data Engineer II – QuantumBlack, AI by McKinsey @ quantumblack

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Data Scientist I - QuantumBlack, AI by McKinsey @ quantumblack

Data Engineer I - QuantumBlack, AI by McKinsey @ quantumblack

BigQuery Cost Optimization Guide by Masthead Data

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Subject Matter Expert - Analytics ( Retail Domain) @ wns-global-services

Senior Analytics Engineer @ rockstar-games