Senior Software Engineer, Data Platform

Tensec; Deutschland; Vor Ort; EUR 146.000 - 230.000; Vollzeit

Benefits dieser Stelle

Unlimited PTO

12-weeks fully paid parental leave

4-Week Fully Paid Sabbatical

Work From Anywhere

Health, vision, and dental insurance

401(k) match

Voluntary Life Insurance and STD/LTD

Zusammenfassung

Tensec is seeking a Data Engineer to join their Infrastructure team in Germany. This role involves designing and maintaining scalable data pipelines, enhancing ETL/ELT infrastructure, and collaborating with analytics teams. The ideal candidate has strong SQL skills, hands-on experience with Snowflake and production data pipelines, and proficiency in Python. Benefits include unlimited PTO, parental leave, and a positive work-from-anywhere culture, enhancing employee flexibility and satisfaction.

Qualifikationen

• Strong SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred).
• Experience building and maintaining production data pipelines using tools like Airbyte, Stitch, Airflow, Prefect, Dagster, or similar.
• Proficiency in Python and Terraform for data engineering tasks.
• Familiarity with dbt or similar transformation frameworks.
• A track record of shipping reliable, well-monitored data systems in production environments.
• Comfort navigating ambiguity and driving projects forward with minimal oversight.

Aufgaben

• Design, build, and maintain scalable data pipelines that move data reliably.
• Own and improve the ETL/ELT infrastructure including tooling, orchestration, and monitoring.
• Identify and eliminate manual data workflows, replacing them with automated processes.
• Partner with Analytics Engineering to ensure clean, well-modeled data.
• Build and maintain tooling that enables the organization to self-serve their data needs.

Kenntnisse

Strong SQL skills

Experience with modern cloud data warehouses (Snowflake preferred)

Building and maintaining production data pipelines

Proficiency in Python

Proficiency in Terraform

Familiarity with dbt or similar transformation frameworks

Navigating ambiguity

Familiarity with AWS services

Tools

Airbyte

Stitch

Airflow

Prefect

Dagster

Jobbeschreibung

Lithic is hiring a Data Engineer to join our Infrastructure team and help improve the foundation that the rest of the analytics organization depends on. You’ll own pipelines end-to-end, replace manual work with automated, reliable systems, and partner closely with Finance, Operations, and Analytics to make sure the right data gets to the right people at the right time.

Job responsibilities:

• Design, build, and maintain scalable data pipelines that move data reliably from source systems into our Snowflake warehouse
• Own and improve our ETL/ELT infrastructure, including tooling, orchestration, monitoring, and data quality validation
• Identify and eliminate manual data workflows, replacing them with automated, auditable processes
• Partner with the Analytics Engineering team to ensure clean, well‑modeled data is available for Finance, Operations, and other business teams
• Build and maintain tooling that enables the broader organization to self‑serve their data needs
• Contribute to data governance practices including access controls, lineage documentation, and data quality standards
• Collaborate with software engineers to instrument new systems and bring operational data into our warehouse cleanly

Qualifications:

• Strong SQL skills and hands‑on experience with modern cloud data warehouses (Snowflake strongly preferred)
• Experience building and maintaining production data pipelines using tools like Airbyte, Stitch, Airflow, Prefect, Dagster, or similar
• Proficiency in Python and Terraform for data engineering tasks
• Familiarity with dbt or similar transformation frameworks
• A track record of shipping reliable, well‑monitored data systems in production environments
• Comfort navigating ambiguity and driving projects forward with minimal oversight
• Experience in fintech, payments, or other financial services environments is preferred
• Familiarity with AWS services (Lambda, Glue, S3, Step Functions, RDS) is preferred
• Experience supporting Finance or Accounting teams and working with financial data concepts (revenue recognition, reconciliation, month‑end close) is preferred
• Exposure to data platform work including access control, data cataloging, or lineage tooling is preferred
• Experience at a company processing high transaction volumes where correctness and reliability are non‑negotiable is preferred

The annual US salary range for this role is $146,000 – $230,000 plus equity.

Benefits for Full-Time US Employees:

• Unlimited PTO
• 12‑weeks fully paid parental leave
• 4‑Week Fully Paid Sabbatical (earned at your 5‑year anniversary)
• Work From Anywhere: work from anywhere in the world 4‑weeks each year
• 3% cashback on card purchases with your complimentary Privacy.com employee account
• Health, vision, and dental insurance; HSA Contribution Match
• 401(k) match
• Voluntary Life Insurance and STD/LTD

NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.

In-office employees receive:

• Commuter benefit
• Catered lunch every Tuesday and Thursday