# Senior Data Engineer at Clera

Senior Data Engineer at Clera in remote. Remote, full-time. Posted November 2, 2026.

- Company: Clera
- Location: remote
- Workplace: Remote
- Job type: Full-time
- Experience: 5+ years
- Posted: 2026-11-02
- Apply: https://jobs.ashbyhq.com/clera/f5549553-7f55-4701-8590-7e8e220bdae0/application
- Source: https://jobmagic.ai/jobs/senior-data-engineer-clera-tvkxxc

## Requirements

- 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.

## Description

### 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.