Data Engineer (Remote - EMEA or NAMER) at Jobgether

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Data Engineer (Remote - EMEA or NAMER) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in NAMER, EMEA.. As a Data Engineer, you will play a key role in building and scaling modern data systems that support mission-critical features and analytics. You’ll collaborate closely with product, engineering, and analytics teams to ensure data is reliable, discoverable, and actionable. This role offers the opportunity to work with advanced technologies such as Databricks, Spark, and cloud platforms, contributing directly to data-driven product innovation. You will operate in a fully remote, high-impact environment where your work helps shape smarter, more efficient products that reach millions of users globally.. . Accountabilities:. ·         Design, build, and maintain scalable data pipelines and APIs that power core product functionalities.. ·         Collaborate with cross-functional teams to define data models, optimize processing workflows, and ensure system scalability.. ·         Implement and maintain best practices for data quality, observability, testing, and governance.. ·         Continuously monitor, optimize, and troubleshoot performance issues in data ingestion, transformation, and storage processes.. ·         Develop reusable engineering patterns and frameworks that enable teams to leverage data independently and efficiently.. ·         Partner with product, analytics, and machine learning teams to support key initiatives through reliable data access.. ·         Mentor junior engineers and promote knowledge-sharing to strengthen the overall technical capability of the team.. . ·         4+ years of experience building and maintaining data infrastructure in cloud environments (AWS, GCP, or Azure).. ·         Strong foundation in software engineering and backend systems, including API and data service design.. ·         Expertise in Databricks, Spark, or other distributed processing systems for large-scale data workloads.. ·         Proficiency in Python and/or TypeScript, as well as advanced SQL capabilities.. ·         Strong commitment to data quality, observability, and automation using testing, monitoring, and alerting tools.. ·         Excellent communication and collaboration skills with a proactive and solution-oriented mindset.. ·         Demonstrated ability to balance speed and quality while working in agile, high-impact teams.. . Company Location: Germany.