Senior Data Engineer — Scale Data Platforms (Remote EU)

Media Industry; United States; Remote; USD 104,000 - 162,000; Full time

Benefits offered by this job

Fully remote EU position

Flexible hours

Learning & development 10% bonus

Amazon book account

Team events and off-sites

Birthday day off

Sabbatical after 3 years

Wellness budget

Amazing international team

Job summary

Kodify is seeking a Senior Data Engineer to build robust pipelines and a scalable data platform serving near 100M monthly visitors. You will own ingestion from Postgres, MongoDB, and APIs into a warehouse, drive a dbt project, and evolve the semantic layer for governance across BI and finance.

Join a fully remote EU team with flexible hours, a strong learning budget, and a culture that values collaboration and clean architecture.

Qualifications

• Senior-level experience as a Data Engineer, Analytics Engineer, or similar — you've done this before, at scale, and you can show it.
• Expert-level PostgreSQL — complex transformations, window functions, performance tuning, the lot.
• Hands-on production experience with a columnar/analytical database (ClickHouse strongly preferred; BigQuery, Redshift, Snowflake, or similar also relevant) — modeling for it, loading into it, and tuning queries against it.
• Solid building experience using AI - understanding AI harnessing best practices such as claude.md, hooks, skills, rules, mcps, plugins etc.
• Strong production experience with dbt — not just writing models, but structuring projects, testing strategy, macros, and CI/CD.
• Experience with a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar) — defining governed, reusable metrics.
• Experience with data cataloging, documentation, and lineage tooling (OpenMetadata, DataHub, or similar) — you treat discoverability and lineage as first-class, not an afterthought.
• Hands-on experience with PostgreSQL and MongoDB as source systems (replication, CDC, schema evolution, the realities of pulling data out of them).
• Experience designing and maintaining data warehouses and dimensional/analytical models.
• Comfort with Git, code review, and modern software engineering practices applied to data.
• Strong sense of ownership — you don't wait to be told something is broken.
• A team player who likes to help others and solve problems together.
• Experience of mentoring junior engineers
• Investigation of new technologies.
• Advocate of clean code and clean architecture — applied to data.
• Passionate about testing — data tests, unit tests, end-to-end checks.
• You have a real 'Can Do' work ethic - We are results-based, not clock-based!
• You love to have fun while you work!
• Nice to have: Docker, AWS, Experience with high-traffic / high-volume data environments

Responsibilities

• You’ll help to evolve a data platform that supports products serving close to 100M unique visitors a month.
• Design, build, and own robust data pipelines from source systems (Postgres, MongoDB, event streams, third-party APIs) into our warehouse.
• Architecture - Make pragmatic decisions about ingestion, storage, transformation, and serving layers, including our columnar/analytical serving layer. Balance speed, cost, and maintainability.
• Modeling - Drive our dbt project: structure, conventions, testing, documentation, and CI. Make it a platform other people love to contribute to.
• Semantic layer - Own and evolve our semantic layer so metrics are defined once, governed centrally, and consumed consistently across BI, product, and finance.
• Governance & lineage - Champion data cataloging, documentation, and end-to-end lineage so everyone can find, trust, and understand our data.
• Quality & Reliability - Own data quality end-to-end: tests, monitoring, alerting, lineage, and SLAs. If a dashboard is wrong, you care.
• Performance - Optimize warehouse and columnar query performance. Know where the bottlenecks are before stakeholders do.
• Collaborate with the BI team, Product, Development, Marketing, and Finance to understand what they need and translate it into clean, reusable data models.
• Mentor the wider BI/Data team — code reviews, pairing, raising the technical bar on SQL, dbt, Python, and engineering practices.
• Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.
• Goal - Be proud of the data platform you help build, and be one of the driving forces behind always making it better.

Skills

Senior data eng

PostgreSQL

MongoDB

ClickHouse

BigQuery/Redshift/Snowflake

dbt

Python

Git

Data modeling

Data warehousing

AI integration

Mentoring

Education

Bachelor’s or higher in a relevant field

Tools

Docker

OpenMetadata/DataHub

Cube.dev/LlookML (metrics layer)

Job description

Kodify is seeking a Senior Data Engineer to build robust pipelines and a scalable data platform serving near 100M monthly visitors. You will own ingestion from Postgres, MongoDB, and APIs into a warehouse, drive a dbt project, and evolve the semantic layer for governance across BI and finance.

Join a fully remote EU team with flexible hours, a strong learning budget, and a culture that values collaboration and clean architecture.