Senior Consultant (w/m/d) Business Data Cloud & Insights
@ sap
DE | 2025-12-28
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics...
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Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP. Your remit: design system/IT landscapes and data architectures aligned to client strategy, integrate non-SAP solutions, and support account teams in evaluation and sales. It promises a culture of learning, a young Hamburg-Berlin team, and real responsibility; travel up to 80% is on the table. The upside is exposure to a coherent cloud analytics stack and cross-functional client delivery; the downside is a steep SAP-specialist bar, vendor-lock risk, and the constant tension between consulting sales and credible implementation. If you crave edge-case SAP projects and a visible impact, this role has the skeleton for it, not the glow.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
DE | 2025-12-28
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on...
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Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on search and social media platforms. The role requires strong statistical skills, proficiency in data tools, and experience in digital marketing. While the responsibilities align with the demands of a data engineer, the emphasis on marketing and the lack of clear salary details make the position somewhat unconventional. The company values diversity and innovation, but the role’s focus on marketing may limit its appeal to pure data engineers. The opportunity to work with a global team and contribute to impactful campaigns is significant, though the role is not explicitly tied to data engineering best practices, which could be a point of skepticism.
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.
Agoda’s Performance Marketing Data Analyst role places you at the hub of scale: own end-to-end analyses of channel performance, user behavior, and market trends; design hypotheses, run A/B tests,...
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Agoda’s Performance Marketing Data Analyst role places you at the hub of scale: own end-to-end analyses of channel performance, user behavior, and market trends; design hypotheses, run A/B tests, and translate raw data into actionable growth strategies; collaborate across functions and report findings to senior leadership. The tech spec centers on SQL, Tableau, and MS Excel, with data‑warehouse concepts implied, but there’s scant detail on Python/R or cloud platforms, which could hold back more advanced modeling. A 4–6 year data‑analysis track record in tech, consulting, e‑commerce, or digital marketing is required, a tall order that still reads as “mid‑senior.” Salary isn’t disclosed, and the long city list underscores global reach rather than local nuance. Advantage: you join a large, diverse, data‑driven machine within Booking Holdings with real scale; risk: infrastructure maturity may lag true experimentation at pace.
Product Design Lead – AI Assistant & Conversational UX(Bangkok - Based, Relocation Provided)
@ agoda
DE | 2025-12-28
This role offers a unique opportunity to lead a small, creative design team focused on AI-powered travel experiences, blending hands-on product design with leadership. The position requires...
read more »
Product Design Lead – AI Assistant & Conversational UX(Bangkok - Based, Relocation Provided)
agoda
(DE) FULL TIME | JOB LISTED
This role offers a unique opportunity to lead a small, creative design team focused on AI-powered travel experiences, blending hands-on product design with leadership. The position requires expertise in conversational UX, AI systems, and user-centered design, with a focus on simplifying complex interactions. While the team is small, the responsibilities include mentoring, strategic planning, and cross-functional collaboration. The role emphasizes innovation and real-world impact, but the lack of explicit salary details and the presence of generic descriptors may limit clarity. The company’s emphasis on diversity and inclusion aligns with its values, but the role’s focus on AI and conversational design may not appeal to those seeking traditional product design experience.
Director - ERP and Finance Systems (Bangkok Based, Relocation Provided)
@ agoda
DE | 2025-12-28
Agoda’s finance technology Director role is a heavy, high-visibility blend of ERP leadership, data and analytics, and RPA, with a GenAI spine. You own Oracle Cloud Fusion strategy, but also...
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Director - ERP and Finance Systems (Bangkok Based, Relocation Provided)
agoda
(DE) FULL TIME | JOB LISTED
Agoda’s finance technology Director role is a heavy, high-visibility blend of ERP leadership, data and analytics, and RPA, with a GenAI spine. You own Oracle Cloud Fusion strategy, but also oversee architecture for integrated, scalable finance platforms and a governance-heavy, global operation. It’s a rare cross-domain perch: ERP transformation, data insight delivery, and automation, all under one roof, demanding 12+ years’ finance systems experience and the ability to influence executives. What stands out is the mandate to push next-gen tech while maintaining controls and compliance across multiple markets; what troubles me is the Oracle-centric bias and the integration burden with in-house and hybrid solutions. The upside is tangible: measurable efficiency, clearer governance, and strategic impact on growth. The downside: vendor risk, change-management drag, and a role that smears across too many domains to own comfortably.
SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises...
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SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises high autonomy to build a repeatable performance discipline that scales across Europe’s hiring markets, tying marketing spend to hiring outcomes. The tech emphasis is unmistakable: GTM, GA4, UTMs, ATS analytics, and hands-on campaign management on LinkedIn, Google, and Meta, plus landing-page testing and unified dashboards for ROI and conversion health. It’s a compelling proposition for data-driven recruitment and rapid iteration, but the risk is clear: chasing funnel metrics can misalign with actual hiring quality, all under privacy and attribution constraints. SumUp’s Berlin base, global reach, and solid benefits are attractive, though the office-first stance and pace may challenge candidates who prize flexibility and candor over buzz.
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.
Audibene is hiring a Senior Data Engineer to own the data lifecycle end-to-end and build AI-ready data products rather than dashboards. The role centers on a modern stack—Airflow, Snowflake,...
read more »
Audibene is hiring a Senior Data Engineer to own the data lifecycle end-to-end and build AI-ready data products rather than dashboards. The role centers on a modern stack—Airflow, Snowflake, Pulsar and Kubernetes—with a semantic layer and data catalog to supply richly annotated, agent-ready data for LLMs. Expect heavy emphasis on data quality, lineage, and metadata, and on translating complex data concepts for engineers and business stakeholders. You’ll work from Berlin/Mainz four days a week, with one remote day, and contribute to an evolving dbt layer and AI-enabled automation. Requirements pile on 5+ years of ETL, cloud data warehouses (Snowflake/BigQuery/Redshift), Python pipelines, streaming (Kafka/Pulsar/Kinesis), and familiarity with semantic layers and metadata management. The role stands out for AI-focused data products but risks being overhyped if you want traditional BI dashboards.
Porsche Consulting markets the AI Solution Consultant as turning 'complex business challenges' into scalable AI & Analytics for client leadership. You’ll run technology workshops, sketch target...
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Porsche Consulting markets the AI Solution Consultant as turning 'complex business challenges' into scalable AI & Analytics for client leadership. You’ll run technology workshops, sketch target architectures, and wire up data and model pipelines, all while debating with top decision-makers. The candidate profile is clearly academia-forward: Master or PhD plus 2+ years in AI/Analytics consulting, solid Python, and GitLab CI/CD with MLOps exposure; you’ll translate business needs into production-ready pipelines and maintainable code. The upside is high-visibility projects and real business impact across industries; the downside is travel, ambiguity, and the sense you’re selling capabilities rather than owning a product. Salary is vaguely described—tariff-based with extras—but benefits are rich: pension schemes, flexible work, health, and car perks. A steady, respectable path for engineers who crave strategy, client craft, and tangible outcomes over hype.
The role at Databricks is challenging, requiring deep expertise in distributed systems, performance optimization, and open-source development. The position demands leadership, technical acumen,...
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The role at Databricks is challenging, requiring deep expertise in distributed systems, performance optimization, and open-source development. The position demands leadership, technical acumen, and a track record of driving innovation in large-scale data infrastructure. The company emphasizes real-world impact and customer value, but the role is not without its hurdles—particularly in managing complex systems at massive scale and maintaining high performance under pressure. The responsibilities include architectural design, optimization, and mentorship, with a focus on delivering reliable, efficient, and scalable solutions. The job is technically demanding, but the opportunity to work on cutting-edge data infrastructure and contribute to open-source projects makes it a compelling proposition for those with experience in distributed systems and performance engineering.
Product Management Intern (2026) - Berlin
@ databricks
DE | 2025-12-28
The role at Databricks as a Product Management Intern is ideal for someone with a strong technical background, particularly in data engineering and AI. The opportunity to work on real-world...
read more »
Product Management Intern (2026) - Berlin
databricks
(DE) INTERNSHIP | JOB LISTED
The role at Databricks as a Product Management Intern is ideal for someone with a strong technical background, particularly in data engineering and AI. The opportunity to work on real-world projects and contribute to a high-growth company is compelling, but the internship is limited to a 12-week summer program in either Amsterdam or Berlin. The focus on building and scaling data and AI infrastructure offers significant potential, but the scope is narrow, and the experience is likely constrained to a specific geographic location. The role emphasizes collaboration and learning, but the lack of clear career progression and the emphasis on short-term project management may not suit those seeking long-term growth. The company’s commitment to diversity and inclusion is noteworthy, but the internship’s lack of explicit salary details and the limited scope of the program remain areas of skepticism.
Product Manager, New Grad (2026) - Berlin
@ databricks
DE | 2025-12-28
Databricks offers an Associate Product Manager internship spanning Amsterdam and Berlin, across teams like Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA and Content...
read more »
Product Manager, New Grad (2026) - Berlin
databricks
(DE) FULL TIME | JOB LISTED
Databricks offers an Associate Product Manager internship spanning Amsterdam and Berlin, across teams like Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA and Content Organization. You get a dedicated mentor and join the 2026 APM cohort, working end-to-end on platform features from design to feedback, with emphasis on scaling, quality and security. For a data pro, the role is more product-systems than hands-on engineering: you’ll need SQL and/or Python, and the ability to translate analytics into stakeholder-facing narratives. The challenge is ambiguity and cross-functional coordination in a fast-moving platform, not just code churn. It’s a strong brand with Fortune 500 customers, but the internship angle and broad remit may dilute depth; expect steep learning and meaningful visibility if you tolerate hype-free pragmatism.
Databricks seeks a Delivery Solutions Architect in Germany to blend post‑sale technical leadership with high‑touch commercial execution across strategic accounts. The role fuses engineering...
read more »
Databricks seeks a Delivery Solutions Architect in Germany to blend post‑sale technical leadership with high‑touch commercial execution across strategic accounts. The role fuses engineering credibility with executive relationship management: own the win‑to‑production playbooks, orchestrate cross‑functional teams, drive adoption, governance and KPI reporting, and be the first technical contact for live workloads. It is genuinely hybrid: you’ll feed product feedback to engineering, shape PS engagements, and align customer outcomes with business value, all while travel up to 30%. What stands out is the platform‑centric remit and the expectation to own multiple use cases end‑to‑end; what weighs on it is the risk of burn‑and‑churn in a role spanning pre‑sales rhetoric, project management, and post‑sale escalation, with no salary transparency. Requires Python/SQL/Scala, understanding of distributed data systems, and a track record of overachieving against quota.
A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to...
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A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to hit growth targets. Their unique aspect is working within a global SaaS company with a strong emphasis on multi-channel marketing. The risk includes the tight reliance on campaign performance and budget management, which can lead to significant setbacks if not well-executed. Salary details are not provided in the job description.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
Acto, backed by 468 Capital and Cusp Capital, seeks a Senior Platform Engineer to own an AI-first cloud platform: Kubernetes on AWS EKS, Terraform-driven infrastructure, and analytics pipelines...
read more »
Senior Platform Engineer - AI Infrastructure & Observability (m/f/d)
heyacto
(DE) FULL TIME | JOB LISTED
Acto, backed by 468 Capital and Cusp Capital, seeks a Senior Platform Engineer to own an AI-first cloud platform: Kubernetes on AWS EKS, Terraform-driven infrastructure, and analytics pipelines that churn millions of events into ClickHouse dashboards. You’ll fight to keep sub-200ms latency for voice AI, tame real-time observability, and craft AI-assisted incident response. The role straddles data engineering and platform engineering: maintain ETL workflows, monitor ClickHouse, optimize API failover, caching, and CI/CD, while enabling local Skaffold-based development. Technical ballast includes Python or Kotlin/Java, FastAPI/Spring Boot/Django, gRPC, and a data stack with ClickHouse, Redshift, BigQuery. The promise of AI-native tools and LLM-driven debugging sounds shiny, but the hardest part is delivering reliability at scale without burning out your cloud bill. Company culture touts ownership and flexibility, with a Munich-area edge; hype risk is real, execution is sharper.
Agoda’s Performance Marketing analytics role asks a 4–6 year data analyst to own end-to-end analyses of channel performance, user behavior, and market trends, design experiments (A/B tests), and...
read more »
Agoda’s Performance Marketing analytics role asks a 4–6 year data analyst to own end-to-end analyses of channel performance, user behavior, and market trends, design experiments (A/B tests), and translate raw data into growth levers for new marketing channels. Expect heavy SQL, Tableau, and Excel use, with data-wrangling in a data warehouse as a constant companion. You’ll partner across business functions and present to senior management, so stakeholder juggling is a feature, not a bug. The description promises a globally diverse, experimentation-driven environment; in practice it’s a tableaux-heavy, metric-obsessed grind where political navigation matters as much as math. Salary isn’t disclosed, which isn’t unusual but not ideal, and the agency disclaimer hints at direct hiring. For the right analyst, there’s scale, cross-market impact, and real responsibility—just watch for the inevitable data-sourcing friction and ROI pressure.
Senior Consultant (w/m/d) Business Data Cloud & Insights
@ sap
DE | 2025-12-27
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud,...
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Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud, Datasphere, HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP, while stitching in non-SAP solutions and supporting sales. It promises constant learning, team growth, and generous benefits, but it’s a consultancy-heavy, SAP-centric track that rewards deep platform pedigree over generic cloud chops. Expect 5+ years in SAP analytics, proficiency in at least two flagship analytics solutions, and coding fluency in ABAP, Java, JavaScript, Python, R, or SQL. Berlin/Hamburg growth, German language fluency, and a Can Do culture are non-negotiables. The market angle? a solid moat for SAP pros, with limited transferability to broader data engineering roles outside SAP’s orbit.
Team Lead (m/w/d) - People & Talent Partnering
@ home24
DE | 2025-12-27
home24 seeks a strategic HR leader blending HR business partnering, talent acquisition, and organizational development. You’ll coach a team of HRBPs and TA specialists, advise executives using...
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Team Lead (m/w/d) - People & Talent Partnering
home24
(DE) FULL TIME | JOB LISTED
home24 seeks a strategic HR leader blending HR business partnering, talent acquisition, and organizational development. You’ll coach a team of HRBPs and TA specialists, advise executives using data in all phases of the employee lifecycle, and own end-to-end talent and performance processes, compensation design, and employer branding. The tech stack is mostly HRIS and ATS with a nod to AI-powered HR tech and workforce analytics, but concrete data platform work or pipeline-building isn’t spelled out. The role promises hybrid work, international exposure via a Berlin campus, and generous benefits—nice, but it tallies with many European HR roles: high policy load, budget stewardship, and change management at scale. Where it stands out is the clear emphasis on data-driven decision-making at leadership level in a consumer e-commerce group expanding across Europe; where it bleeds is ambiguity around reporting structure, budget size, and genuine hands-on analytics or data engineering tasks.
Lifecycle and Customer Marketing Manager (d/f/m)
@ leapsome
DE | 2025-12-27
Leapsome seeks a lifecycle and email marketing specialist in a SaaS environment, with a focus on automation, segmentation, and optimization. The role's differentiator lies in integrating AI to...
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Lifecycle and Customer Marketing Manager (d/f/m)
leapsome
(DE) FULL TIME | JOB LISTED
Leapsome seeks a lifecycle and email marketing specialist in a SaaS environment, with a focus on automation, segmentation, and optimization. The role's differentiator lies in integrating AI to enhance campaign efficiency, but the risk is that over-reliance on automation tools may obscure the human touch. Compensation details are not provided, leaving salary as an open question.
E.ON seeks a data engineer skilled in building scalable AI-driven solutions with expertise in Azure, Terraform, and Spark. The role's differentiator is working on energy transition projects, while...
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E.ON seeks a data engineer skilled in building scalable AI-driven solutions with expertise in Azure, Terraform, and Spark. The role's differentiator is working on energy transition projects, while the risk involves navigating complex stakeholder needs in SAP-driven environments. It offers hybrid work and professional growth but demands experience in cloud and data solutions without specific salary details provided.
A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect...
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A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect is the focus on dynamic healthcare data; however, a risk is limited career growth due to the entry-level nature of the tasks. No salary details are provided, but the role offers exposure to cross-functional collaboration.
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP. Your remit: design system/IT landscapes and data architectures aligned to client strategy, integrate non-SAP solutions, and support account teams in evaluation and sales. It promises a culture of learning, a young Hamburg-Berlin team, and real responsibility; travel up to 80% is on the table. The upside is exposure to a coherent cloud analytics stack and cross-functional client delivery; the downside is a steep SAP-specialist bar, vendor-lock risk, and the constant tension between consulting sales and credible implementation. If you crave edge-case SAP projects and a visible impact, this role has the skeleton for it, not the glow.
Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on search and social media platforms. The role requires strong statistical skills, proficiency in data tools, and experience in digital marketing. While the responsibilities align with the demands of a data engineer, the emphasis on marketing and the lack of clear salary details make the position somewhat unconventional. The company values diversity and innovation, but the role’s focus on marketing may limit its appeal to pure data engineers. The opportunity to work with a global team and contribute to impactful campaigns is significant, though the role is not explicitly tied to data engineering best practices, which could be a point of skepticism.
Agoda’s Performance Marketing Data Analyst role places you at the hub of scale: own end-to-end analyses of channel performance, user behavior, and market trends; design hypotheses, run A/B tests, and translate raw data into actionable growth strategies; collaborate across functions and report findings to senior leadership. The tech spec centers on SQL, Tableau, and MS Excel, with data‑warehouse concepts implied, but there’s scant detail on Python/R or cloud platforms, which could hold back more advanced modeling. A 4–6 year data‑analysis track record in tech, consulting, e‑commerce, or digital marketing is required, a tall order that still reads as “mid‑senior.” Salary isn’t disclosed, and the long city list underscores global reach rather than local nuance. Advantage: you join a large, diverse, data‑driven machine within Booking Holdings with real scale; risk: infrastructure maturity may lag true experimentation at pace.
Product Design Lead – AI Assistant & Conversational UX(Bangkok - Based, Relocation Provided)
agoda
(DE) FULL TIME | JOB LISTED
This role offers a unique opportunity to lead a small, creative design team focused on AI-powered travel experiences, blending hands-on product design with leadership. The position requires expertise in conversational UX, AI systems, and user-centered design, with a focus on simplifying complex interactions. While the team is small, the responsibilities include mentoring, strategic planning, and cross-functional collaboration. The role emphasizes innovation and real-world impact, but the lack of explicit salary details and the presence of generic descriptors may limit clarity. The company’s emphasis on diversity and inclusion aligns with its values, but the role’s focus on AI and conversational design may not appeal to those seeking traditional product design experience.
Director - ERP and Finance Systems (Bangkok Based, Relocation Provided)
agoda
(DE) FULL TIME | JOB LISTED
Agoda’s finance technology Director role is a heavy, high-visibility blend of ERP leadership, data and analytics, and RPA, with a GenAI spine. You own Oracle Cloud Fusion strategy, but also oversee architecture for integrated, scalable finance platforms and a governance-heavy, global operation. It’s a rare cross-domain perch: ERP transformation, data insight delivery, and automation, all under one roof, demanding 12+ years’ finance systems experience and the ability to influence executives. What stands out is the mandate to push next-gen tech while maintaining controls and compliance across multiple markets; what troubles me is the Oracle-centric bias and the integration burden with in-house and hybrid solutions. The upside is tangible: measurable efficiency, clearer governance, and strategic impact on growth. The downside: vendor risk, change-management drag, and a role that smears across too many domains to own comfortably.
SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises high autonomy to build a repeatable performance discipline that scales across Europe’s hiring markets, tying marketing spend to hiring outcomes. The tech emphasis is unmistakable: GTM, GA4, UTMs, ATS analytics, and hands-on campaign management on LinkedIn, Google, and Meta, plus landing-page testing and unified dashboards for ROI and conversion health. It’s a compelling proposition for data-driven recruitment and rapid iteration, but the risk is clear: chasing funnel metrics can misalign with actual hiring quality, all under privacy and attribution constraints. SumUp’s Berlin base, global reach, and solid benefits are attractive, though the office-first stance and pace may challenge candidates who prize flexibility and candor over buzz.
Audibene is hiring a Senior Data Engineer to own the data lifecycle end-to-end and build AI-ready data products rather than dashboards. The role centers on a modern stack—Airflow, Snowflake, Pulsar and Kubernetes—with a semantic layer and data catalog to supply richly annotated, agent-ready data for LLMs. Expect heavy emphasis on data quality, lineage, and metadata, and on translating complex data concepts for engineers and business stakeholders. You’ll work from Berlin/Mainz four days a week, with one remote day, and contribute to an evolving dbt layer and AI-enabled automation. Requirements pile on 5+ years of ETL, cloud data warehouses (Snowflake/BigQuery/Redshift), Python pipelines, streaming (Kafka/Pulsar/Kinesis), and familiarity with semantic layers and metadata management. The role stands out for AI-focused data products but risks being overhyped if you want traditional BI dashboards.
Porsche Consulting markets the AI Solution Consultant as turning 'complex business challenges' into scalable AI & Analytics for client leadership. You’ll run technology workshops, sketch target architectures, and wire up data and model pipelines, all while debating with top decision-makers. The candidate profile is clearly academia-forward: Master or PhD plus 2+ years in AI/Analytics consulting, solid Python, and GitLab CI/CD with MLOps exposure; you’ll translate business needs into production-ready pipelines and maintainable code. The upside is high-visibility projects and real business impact across industries; the downside is travel, ambiguity, and the sense you’re selling capabilities rather than owning a product. Salary is vaguely described—tariff-based with extras—but benefits are rich: pension schemes, flexible work, health, and car perks. A steady, respectable path for engineers who crave strategy, client craft, and tangible outcomes over hype.
The role at Databricks is challenging, requiring deep expertise in distributed systems, performance optimization, and open-source development. The position demands leadership, technical acumen, and a track record of driving innovation in large-scale data infrastructure. The company emphasizes real-world impact and customer value, but the role is not without its hurdles—particularly in managing complex systems at massive scale and maintaining high performance under pressure. The responsibilities include architectural design, optimization, and mentorship, with a focus on delivering reliable, efficient, and scalable solutions. The job is technically demanding, but the opportunity to work on cutting-edge data infrastructure and contribute to open-source projects makes it a compelling proposition for those with experience in distributed systems and performance engineering.
Product Management Intern (2026) - Berlin
databricks
(DE) INTERNSHIP | JOB LISTED
The role at Databricks as a Product Management Intern is ideal for someone with a strong technical background, particularly in data engineering and AI. The opportunity to work on real-world projects and contribute to a high-growth company is compelling, but the internship is limited to a 12-week summer program in either Amsterdam or Berlin. The focus on building and scaling data and AI infrastructure offers significant potential, but the scope is narrow, and the experience is likely constrained to a specific geographic location. The role emphasizes collaboration and learning, but the lack of clear career progression and the emphasis on short-term project management may not suit those seeking long-term growth. The company’s commitment to diversity and inclusion is noteworthy, but the internship’s lack of explicit salary details and the limited scope of the program remain areas of skepticism.
Product Manager, New Grad (2026) - Berlin
databricks
(DE) FULL TIME | JOB LISTED
Databricks offers an Associate Product Manager internship spanning Amsterdam and Berlin, across teams like Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, EDA and Content Organization. You get a dedicated mentor and join the 2026 APM cohort, working end-to-end on platform features from design to feedback, with emphasis on scaling, quality and security. For a data pro, the role is more product-systems than hands-on engineering: you’ll need SQL and/or Python, and the ability to translate analytics into stakeholder-facing narratives. The challenge is ambiguity and cross-functional coordination in a fast-moving platform, not just code churn. It’s a strong brand with Fortune 500 customers, but the internship angle and broad remit may dilute depth; expect steep learning and meaningful visibility if you tolerate hype-free pragmatism.
Databricks seeks a Delivery Solutions Architect in Germany to blend post‑sale technical leadership with high‑touch commercial execution across strategic accounts. The role fuses engineering credibility with executive relationship management: own the win‑to‑production playbooks, orchestrate cross‑functional teams, drive adoption, governance and KPI reporting, and be the first technical contact for live workloads. It is genuinely hybrid: you’ll feed product feedback to engineering, shape PS engagements, and align customer outcomes with business value, all while travel up to 30%. What stands out is the platform‑centric remit and the expectation to own multiple use cases end‑to‑end; what weighs on it is the risk of burn‑and‑churn in a role spanning pre‑sales rhetoric, project management, and post‑sale escalation, with no salary transparency. Requires Python/SQL/Scala, understanding of distributed data systems, and a track record of overachieving against quota.
A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to hit growth targets. Their unique aspect is working within a global SaaS company with a strong emphasis on multi-channel marketing. The risk includes the tight reliance on campaign performance and budget management, which can lead to significant setbacks if not well-executed. Salary details are not provided in the job description.
Senior Platform Engineer - AI Infrastructure & Observability (m/f/d)
heyacto
(DE) FULL TIME | JOB LISTED
Acto, backed by 468 Capital and Cusp Capital, seeks a Senior Platform Engineer to own an AI-first cloud platform: Kubernetes on AWS EKS, Terraform-driven infrastructure, and analytics pipelines that churn millions of events into ClickHouse dashboards. You’ll fight to keep sub-200ms latency for voice AI, tame real-time observability, and craft AI-assisted incident response. The role straddles data engineering and platform engineering: maintain ETL workflows, monitor ClickHouse, optimize API failover, caching, and CI/CD, while enabling local Skaffold-based development. Technical ballast includes Python or Kotlin/Java, FastAPI/Spring Boot/Django, gRPC, and a data stack with ClickHouse, Redshift, BigQuery. The promise of AI-native tools and LLM-driven debugging sounds shiny, but the hardest part is delivering reliability at scale without burning out your cloud bill. Company culture touts ownership and flexibility, with a Munich-area edge; hype risk is real, execution is sharper.
Agoda’s Performance Marketing analytics role asks a 4–6 year data analyst to own end-to-end analyses of channel performance, user behavior, and market trends, design experiments (A/B tests), and translate raw data into growth levers for new marketing channels. Expect heavy SQL, Tableau, and Excel use, with data-wrangling in a data warehouse as a constant companion. You’ll partner across business functions and present to senior management, so stakeholder juggling is a feature, not a bug. The description promises a globally diverse, experimentation-driven environment; in practice it’s a tableaux-heavy, metric-obsessed grind where political navigation matters as much as math. Salary isn’t disclosed, which isn’t unusual but not ideal, and the agency disclaimer hints at direct hiring. For the right analyst, there’s scale, cross-market impact, and real responsibility—just watch for the inevitable data-sourcing friction and ROI pressure.
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud, Datasphere, HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP, while stitching in non-SAP solutions and supporting sales. It promises constant learning, team growth, and generous benefits, but it’s a consultancy-heavy, SAP-centric track that rewards deep platform pedigree over generic cloud chops. Expect 5+ years in SAP analytics, proficiency in at least two flagship analytics solutions, and coding fluency in ABAP, Java, JavaScript, Python, R, or SQL. Berlin/Hamburg growth, German language fluency, and a Can Do culture are non-negotiables. The market angle? a solid moat for SAP pros, with limited transferability to broader data engineering roles outside SAP’s orbit.
Team Lead (m/w/d) - People & Talent Partnering
home24
(DE) FULL TIME | JOB LISTED
home24 seeks a strategic HR leader blending HR business partnering, talent acquisition, and organizational development. You’ll coach a team of HRBPs and TA specialists, advise executives using data in all phases of the employee lifecycle, and own end-to-end talent and performance processes, compensation design, and employer branding. The tech stack is mostly HRIS and ATS with a nod to AI-powered HR tech and workforce analytics, but concrete data platform work or pipeline-building isn’t spelled out. The role promises hybrid work, international exposure via a Berlin campus, and generous benefits—nice, but it tallies with many European HR roles: high policy load, budget stewardship, and change management at scale. Where it stands out is the clear emphasis on data-driven decision-making at leadership level in a consumer e-commerce group expanding across Europe; where it bleeds is ambiguity around reporting structure, budget size, and genuine hands-on analytics or data engineering tasks.
Lifecycle and Customer Marketing Manager (d/f/m)
leapsome
(DE) FULL TIME | JOB LISTED
Leapsome seeks a lifecycle and email marketing specialist in a SaaS environment, with a focus on automation, segmentation, and optimization. The role's differentiator lies in integrating AI to enhance campaign efficiency, but the risk is that over-reliance on automation tools may obscure the human touch. Compensation details are not provided, leaving salary as an open question.
E.ON seeks a data engineer skilled in building scalable AI-driven solutions with expertise in Azure, Terraform, and Spark. The role's differentiator is working on energy transition projects, while the risk involves navigating complex stakeholder needs in SAP-driven environments. It offers hybrid work and professional growth but demands experience in cloud and data solutions without specific salary details provided.
A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect is the focus on dynamic healthcare data; however, a risk is limited career growth due to the entry-level nature of the tasks. No salary details are provided, but the role offers exposure to cross-functional collaboration.
