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senior data engineer sql

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Senior Data Engineer
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  • Senior Data Engineer

Senior Data Engineer

REMOTE5+ years of experienceB2 English level fluencyAzure data stackMicrosoft SQL Server

We're looking for a Senior Data Engineer to join a long-term project for a US insurance client, focused on data integration and processing across multiple client accounts. You'll work with diverse file formats, implementing data mapping, transformation, and validation processes to ensure reliable data flows into a new operational database and support accurate financial reporting.

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Major responsibilities:

  • Drive the technical execution of multiple migration projects from initial intake through completion.
  • Develop, transform, and validate data using SQL, JSON, C#, and related technologies.
  • Design and manage ETL processes to support data migration and integration.
  • Interpret business and data requirements, including resolving ambiguous or incomplete inputs.
  • Perform data testing, validation, and reconciliation to ensure accuracy and completeness.
  • Collaborate with developers, project managers, and other stakeholders to align requirements and deliverables.

We'd love to hear from you if you have:

  • Minimum of 5 years of experience in data engineering, with at least 2–3 years focused on the Azure ecosystem
  • Strong experience with SQL, JSON, and C# or similar programming languages.
  • Hands-on experience with ETL processes, data mapping, and data migration.
  • Experience testing data against business and technical requirements.
  • Strong analytical and problem-solving skills, with high attention to detail.
  • The ability to work independently and take ownership of deliverables.
  • Proven ability to manage multiple projects simultaneously in a fast-paced environment.
  • English B2 level or higher.

Nice to have:

  • Experience with SQL Server Integration Services (SSIS).
  • Knowledge of the insurance domain including premiums, commissions, premium taxes, and actuarial calculations
  • Experience working in data integration or DevOps environments
  • Familiarity with SFTP, file-based data exchanges, and automation processes

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