Remote Data Engineer (Mid-Level)

Alder Forest; United States; Remote; USD 90,000 - 125,000; Full time

Job summary

Alder Forest is seeking a Remote Data Engineer (Mid-Level) to design, build, and optimize ELT pipelines powering analytics and data products. The role offers ownership of end-to-end data flows in a multi-tenant Databricks environment, with emphasis on reliability and fast iteration.

We value Python and SQL proficiency, Spark/PySpark experience, and a collaborative mindset. This remote position supports working from the UK, France, or selected EU countries, with a strong focus on data quality and

Qualifications

• 3–5 years of data engineering experience.
• Strong Python and SQL skills required.
• Experience with Spark / PySpark and Databricks.
• Experience with CI/CD and data testing tools.

Responsibilities

• Build and maintain ELT pipelines and monitor data freshness.
• Deploy workflows to Databricks in a multi-tenant environment.
• Collaborate with data and product teams to deliver reliable data.
• Contribute to platform standards and documentation.

Skills

Python

SQL

Spark / PySpark

Databricks

Data pipelines

CI/CD

AWS

Great Expectations

Git

Tools

Databricks

Apache Spark

Git

AWS

Streaming/CDC

Job description

Remote Data Engineer (Mid-Level)

2026-10-03T00:00:00

Alder Forest

Greater Manchester

GB

M30 8

Any

2027-01-01T23:03:09.863

Are you looking to be part of something special, like shaping the future of healthcare? We are looking for a Data Engineer to help build, test, and optimise the pipeline powering our analytics, reporting, and data products. This is a role with real ownership to contribute to the next generation of our platform. If this sounds like you, keep reading!

At Semble, we are on a mission to enable health professionals to amplify their impact. We improve the way healthcare is delivered to millions of people by providing doctors and their teams with powerful, innovative, intuitive, and secure software. Our cloud-based clinical system is used by thousands of clinicians across the UK, France, and beyond—making their lives easier, saving them money, and structuring health data to support better care and research.

We are a passionate and driven team, proud to unite under strong cultural drivers:

• Impact - We do work that matters.
• Collaboration - We are in it together.
• Human touch - We care deeply.

This role can be based in France or the UK, or contracted in selected EU countries, full remote.

What you will be doing

• Build and maintain ELT pipelines, monitor pipeline health and data freshness
• Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment
• Extend our modelling layer, support CI/CD and ingestion projects
• Collaborate with data and product teams to deliver reliable, well-tested data
• Participate in code reviews and help evolve platform standards and documentation

What we’re looking for

• 3-5 years of data engineering experience
• Strong Python & SQL skills
• Experience with Apache Spark / PySpark
• Ability to monitor, troubleshoot, and resolve pipeline failures
• Familiarity with lakehouse concepts
• Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations
• Nice to have: Exposure to YAML, Experience building analytics data models in Spark

What you’ll get in return

• Autonomy and ownership — we’ll set the vision and share the context, then we trust you to run with things. That’s why we hire you!
• Work alongside an inspiring team — our founders started Semble after a successful startup exit, and your future colleagues are all knowledgeable and innovators in their field.
• We welcome applications from people of all backgrounds and all walks of life, including underrepresented groups in the tech industry. We also encourage applications from disabled and neurodiverse candidates. If there are any adjustments we can make to support you throughout the recruitment process, please do let us know.