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The pragmatic engineer’s choice for building scalable, efficient, and maintainable systems. Designed with simplicity and performance in mind, Go is a great fit for data engineers tackling high-throughput pipelines, distributed systems, or lightweight microservices. Its strong concurrency model (goroutines, channels) makes it ideal for handling parallel workloads, while its minimal runtime overhead ensures speed without the verbosity of C++ or the baggage of Java.
However, Go’s simplicity can feel spartan. No generics (until recently), no exceptions, and a strict focus on “the Go way” can frustrate those coming from more expressive languages. Its ecosystem is solid but lacks the rich libraries of Python or Java, making some tasks (e.g., advanced ML or data wrangling) less convenient.
Use Go when you need clean, performant code that’s easy to maintain. Skip it for heavy data science or one-off scripts. It’s not flashy, but it gets the job done—efficiently, if a bit rigidly.
Used together with Go
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Compare to other programming languagesJobs (this month)
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Jobs in using Go for but please no
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data engineer
(Senior) Data Engineer (f/m/x) @ audibene
DE | 2025-12-28
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,...
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AI/ML, LLM, Analytics, Airflow, Snowflake, Kubernetes, Data Quality, dbt, ETL/ELT, Data Modelling, Cloud Computing, BigQuery, Redshift, AWS, GCP, Azure, Python, Management, ClickHouse, DuckDB, Data Streaming, Kafka, Redpanda, Kinesis, Go | ||
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data engineer
Delivery Solutions Architect @ databricks
DE | 2025-12-28
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...
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Databricks, Go, Data Lakehouse, Cloud Computing, KPI, AI/ML, Python, SQL, Scala, Management, Computer Science, Analytics, Spark, Delta | ||
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promoted
The Fundamentals of Analytics EngineeringThe 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. |
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data engineer
Senior Platform Engineer - AI Infrastructure & Observability (m/f/d) @ heyacto
DE | 2025-12-28
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...
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AI/ML, Cloud Computing, Kubernetes, ClickHouse, Analytics, LLM, Management, AWS, Terraform, ETL/ELT, API, CI/CD, Amazon RDS, AWS Lambda, Redshift, BigQuery, Python, Java, Go | ||
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data engineer
Senior Data Engineer (f/m/d) - Data & AI @ e.on-digital-technology
DE | 2025-12-27
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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AI/ML, Git, CI/CD, Data Engineering, Computer Science, SAP, Analytics, Cloud Computing, Azure, ADF, Databricks, Terraform, Python, Go, IoT | ||
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data engineer
Sr. Manager, Engineering - Identity Platform @ databricks
DE | 2025-12-27
Databricks Sr. Manager, Engineering for the Identity Platform sounds like a role for someone who wants ownership of a mission-critical, multi-region identity stack without the buzzword sprint. The...
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Databricks, Go, Big Data, Cloud Computing, SaaS, Computer Science, AI/ML, Analytics, Data Lakehouse, Spark, Delta | ||
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data engineer
Senior Site Reliability Engineer (m/f/d) @ redcare-pharmacy-com
DE | 2025-12-26
Redcare pitches Europe's No.1 e-pharmacy with a cloud-first Senior Site Reliability Engineer role that leans hard on GCP, Kubernetes, and a belt-and-braces approach to observability. The...
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GCP, CI/CD, Management, Prometheus, Grafana, Cloud Computing, GitLab, GitHub, Argo CD, Go, Python, Bash, Kubernetes, IaC, Terraform, PagerDuty | ||
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promoted
O'Reilly: Building AI Agents with Model Context Protocol (MCP)Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs. |
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data engineer
Market Lead (US NP Students) @ amboss-md
DE | 2025-12-25
A position for a nurse practitioner or experienced NP educator to lead AMBOSS’s efforts among US NP students, involving strategy, relationships, and outreach, with the key difference being the...
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Spark, Go, Google Sheets, Management, Marketing | ||
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data engineer
Marketing Lead (DACH) / Leiter Marketing (DACH) @ klook
GB | 2025-12-24
Klook’s German market push reads like a marketing tech stack with a budgeting appendix, not a data engineering ladder. The role leans into Go-to-Market strategy, local team leadership, and agency...
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Go, Marketing, Management, KPI, Data Analytics |
