Clera
Senior Data Engineer
Senior Data Engineer at Clera, based in UK, Remote. This is a permanent role.
- Pay
- Not given by the employer
- Hours and contract
- Permanent · On site
- Location
- UK, Remote
- Closing date
- Sector
- Data Analyst
Reference f4ff7186-7d0a-49a1-b23b-b3df7b5c44e4
About the role
ABOUT THE ROLE
Join the data products team at a fintech company building commercial banking technology. You will create reusable data and machine learning products that help teams across the business discover, trust, and use data.
WHAT YOU'LL DO
- Design, build, and own reliable, scalable, well-documented data products, pipelines, and datasets for other teams to use.
- Apply software engineering practices such as testing, version control, and CI/CD to production data and machine learning systems.
- Build reusable machine learning products, including document processing, transaction coding suggestions, and retrieval-augmented or agentic tools.
- Establish data quality checks, monitoring, alerts, and service-level expectations for data products.
- Partner with data consumers to understand their needs, gather feedback, and improve products over time.
- Work with analytics and business intelligence teams to make data easier to find, understand, and use independently.
- Improve the data platform and expand the suite of products available to other teams.
WHAT WE'RE LOOKING FOR
- At least 5 years of experience in data engineering, software engineering, or DevOps.
- Advanced Python and Go skills, or Java experience, along with strong SQL.
- Experience with a workflow orchestrator such as Airflow, Dagster, or Prefect, and a data platform such as Snowflake, Databricks, BigQuery, or HDFS-based systems.
- Experience building data infrastructure on GCP, AWS, or a similar cloud platform, including services on Kubernetes and infrastructure managed with Terraform or Pulumi.
- A track record of building reusable data products for other teams. Experience developing a data platform or product suite from the ground up is beneficial.
- Production machine learning or RAG and agentic system experience, including vector databases, is beneficial.
- Knowledge of data modeling approaches or streaming systems is beneficial.
COMPENSATION & BENEFITS
Salary range: €70,000 to €95,000 annually. Equity and visa sponsorship details were not provided.
LOCATION
Remote within Europe.
Reference: f4ff7186-7d0a-49a1-b23b-b3df7b5c44e4 · Posted 2 hours ago · Closes 3 Dec 2026 · Listed via Clera
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