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Senior Data Engineer

Clera

Skills

Required

  • data platform
  • data engineering / software engineering / DevOps
  • Python
  • Go
  • Java
  • SQL
  • workflow orchestrator
  • Airflow
  • Dagster
  • Snowflake / Databricks / BigQuery / HDFS-based systems
  • building data infrastructure
  • GCP
  • Kubernetes
  • Terraform / Pulumi

Preferred

  • machine learning
  • RAG
  • agentic system
  • vector databases
  • data modeling approaches / streaming systems
  • version control
  • CI/CD

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.

Responsibilities

  • 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.

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.

Preferred

  • Production machine learning or RAG and agentic system experience, including vector databases, is beneficial.
  • Knowledge of data modeling approaches or streaming systems is beneficial.

Pay

Salary range: €70,000 to €95,000 annually. Equity and visa sponsorship details were not provided.

Location

Remote within Europe.

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