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
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Design, build, and own reliable, scalable, well-documented data products, pipelines, and datasets for other teams to use.
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Apply software engineering practices such as testing, version control, and CI/CD to production data and machine learning systems.
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Build reusable machine learning products, including document processing, transaction coding suggestions, and retrieval-augmented or agentic tools.
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Establish data quality checks, monitoring, alerts, and service-level expectations for data products.
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Partner with data consumers to understand their needs, gather feedback, and improve products over time.
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Work with analytics and business intelligence teams to make data easier to find, understand, and use independently.
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Improve the data platform and expand the suite of products available to other teams.
What We're Looking For
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At least 5 years of experience in data engineering, software engineering, or DevOps.
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Advanced Python and Go skills, or Java experience, along with strong SQL.
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Experience with a workflow orchestrator such as Airflow, Dagster, or Prefect, and a data platform such as Snowflake, Databricks, BigQuery, or HDFS-based systems.
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Experience building data infrastructure on GCP, AWS, or a similar cloud platform, including services on Kubernetes and infrastructure managed with Terraform or Pulumi.
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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.
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Production machine learning or RAG and agentic system experience, including vector databases, is beneficial.
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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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