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Mid/Senior Data Engineer

That Recruitment Company Ltd — Netherlands · Posted ~21 hours ago

Senior Hybrid No Visa

Skills

data engineering ETL Apache Airflow data modeling query performance optimization distributed systems data quality data services production systems

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Summary ✨ AI‑Generated

A Mid/Senior Data Engineer is sought to take end-to-end ownership of a growing data engineering domain. You will independently design and maintain ETL workflows and orchestration pipelines, improve data quality and models, optimize storage and query performance, and maintain distributed production systems. The role provides significant autonomy while working closely with a collaborative backend engineering team in a hybrid environment.

Highlights

A high-ownership data engineering position with a three-day-per-week hybrid schedule and substantial autonomy. You will be the dedicated data engineering specialist, owning ETL workflows, data quality, data models, storage architecture, query performance, and production data services while collaborating with a supportive backend engineering team.

Description

🎵 Medior/Senior Data Engineer | Take ownership of your work 📍 Amsterdam 💼 Hybrid working - 3 days per week onsite 🌍 English speaking - no visa sponsorship I’m working with an international product company operating within the digital entertainment space. They combine the energy and flexibility of a scale-up with an established international customer base. They’re looking for a Medior/Senior Data Engineer who can take ownership of the company’s data engineering domain. You’ll be the only dedicated Data Engineer, working independently while being part of a social and supportive backend team. What you’ll be doing Designing, building and maintaining ETL workflows, Airflow pipelines and data servicesTaking end-to-end ownership of data quality across core datasets and pipelinesImproving data models, storage architecture and query performanceMaintaining and extending distributed systems in productionIdentifying improvements and independently deciding what needs attentionSupporting engineering and non-technical teams with data-related challengesWorking with product and business stakeholders to prioritise the data roadmapMaintaining strong software and data engineering standards The environment Python and ScalaAirflow, Kafka and ClickHouseGCP, Docker and KubernetesSQL, NoSQL and OLAP technologiesGitHub, CircleCI, ArgoCD and AnsibleSuperset and other primarily open-source tools Who would suit this role? You have 3–5 years of hands-on Data Engineering experienceYou’ve worked with large-scale data systems and distributed pipelinesYou’re confident with Python and/or ScalaYou understand concepts such as replication, sharding, consistency, scaling and idempotencyYou can work independently and take full ownership without needing constant directionYou’re communicative, social and comfortable working across different departmentsYou can adapt when priorities change and enjoy solving problems as you goYou’ve ideally worked in a startup, scale-up or similarly fast-moving product environmentYou’re fluent in English What’s on offer? Competitive salaryHybrid working with three office days per weekFlexible working hoursTwo weeks of working abroad each year after your first seven monthsLearning budgetFresh breakfast and lunch provided at the officeMental wellbeing supportTravel allowance, pension and company laptopPlenty of autonomy and direct influence over the future of the data platform This would suit someone who likes having real ownership, but still wants friendly people around them to exchange ideas, solve problems and occasionally get a little too competitive during a team's game night. Interested? Send me a message and I’ll share the company details privately.