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.
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