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Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSCloudETLPySparkPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Design and implement robust data pipelines and the underlying platform to support both batch and real-time data processing, ensuring optimal performance and scalability.
- Act as strategic partner for stakeholders and cross-functional teams to identify opportunities to deliver high-quality data products and identify opportunities to enhance business strategies
- Set technical standards and best practices for data engineering, data quality, and data governance
- Guide and mentor data engineers, fostering a culture of technical excellence, ownership, and continuous learning
- Lead the designing and implementing Recharge’s data architecture, policies, and processes.
- Work closely with the Senior Product Manager to develop the roadmap, proactively proposing innovative data solutions aligning with business objectives.
- Own end-to-end data workflows, from ingestion through transformation to delivery, ensuring data accuracy, consistency, and accessibility.
- Develop monitoring and alerting mechanisms to detect and resolve issues within the data infrastructure proactively.
- Work with cloud services, particularly AWS, to build, manage, and optimise data lakes and warehouses.
Requirements
What you’ll need- 8+ years of experience in data engineering, building data pipelines, and managing ETL workflows at scale.
- A solid understanding of concepts such as data management, data governance, metadata collection and management, and data as a product.
- Excellent communication and collaboration skills and the ability to translate complex technical subjects for stakeholders
- Experience with data observability, data quality management, and monitoring tools and best practices to ensure data reliability (we use Datadog)
- Proven expertise in designing, building, and managing data lakes, data warehouses, and other data infrastructure solutions with or without using SaaS applications.
- A self-starter with strong problem-solving skills, continually seeking ways to optimise and innovate in data engineering processes.
- Solid understanding of cloud environments, especially AWS, focusing on services like Athena, Redshift, SageMaker, S3, and AWS Step Functions.
- Knowledge or experience with SaaS tools such as Airflow, Airbyte, Fivetran, dbt, Sifflet, Spark/PySpark or similar tools.
- Strong hands-on experience with data processing frameworks and languages like SQL and Python.
- Experience with Infrastructure as Code tools like Terraform
- Experience with defining/maintaining CI/CD for data pipelines, including automated testing, environment provisioning and other best practices. We rely on GitHub Actions and Terraform.
- Ability to operate responsibly in alignment with the industry's best practices and team conventions. The ability to drive initiatives toward completion and deliver working solutions is a must-have.
Benefits
Comp & perks- 30 days of holiday, a great pension scheme, and one of the best relocation packages in Amsterdam
- Flexible working hours and an office overlooking the Amstel
- Macbook Pro or Windows Laptop
- Budget for noise-cancelling headphones, travel to and from the office, opportunities to work-from-home and self-learning
- Free healthy breakfast, lunch, and snacks by our in-house chef
- Unlimited access to mental health support by certified psychologists via OpenUp
- Free Dutch classes to help out with daily life in the Netherlands
- Regular parties, celebrations, and other events.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesETL workflowsdata managementdata governancedata quality managementdata lakesdata warehousesSQLPython
Soft Skills
communicationcollaborationproblem-solvingmentoringstrategic partnershiptechnical excellenceownershipcontinuous learninginnovationresponsibility