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
Requirements
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
Benefits
Competitive base salary aligned with your region (USA, Canada, UK, Ireland, or Spain)
Performance-based bonuses and equity options
Full flexibility with a 100% remote work environment
Transparent and equitable pay philosophy based on impact and contribution
Access to continuous learning, development, and mentorship opportunities
Comprehensive healthcare and wellness coverage
A collaborative culture built on inclusion, respect, and innovation
Location: Cologne, North Rhine-Westphalia, Germany (Remote – Anywhere)
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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
Requirements
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
Benefits
Competitive base salary aligned with your region (USA, Canada, UK, Ireland, or Spain)
Performance-based bonuses and equity options
Full flexibility with a 100% remote work environment
Transparent and equitable pay philosophy based on impact and contribution
Access to continuous learning, development, and mentorship opportunities
Comprehensive healthcare and wellness coverage
A collaborative culture built on inclusion, respect, and innovation
Location: Cologne, North Rhine-Westphalia, Germany (Remote – Anywhere)
#J-18808-Ljbffr