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.

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.