9 months ago
Manchester, United KingdomMid Level

Responsibilities

  • Build and maintain ingestion and transformation pipelines using Microsoft Fabric, Data Pipelines, PySpark notebooks, and Dataflows Gen2.
  • Onboard source systems through reusable ingestion patterns including mirroring, change data capture, file loads, and API loads.
  • Write and tune PySpark and T-SQL for Lakehouse and Warehouse workloads, including fact and dimension models.
  • Implement data quality rules and validation pipelines and investigate reconciliation and data-quality issues.
  • Use Git, Azure DevOps, pull requests, peer review, and CI/CD promotion across development, UAT, and production.
  • Contribute to Terraform infrastructure-as-code and SQL project or DACPAC orchestration configuration.
  • Collaborate with Data Stewards, Data Analysts, and Data Architects to implement mappings, business rules, and transformations.
  • Maintain source-to-target mappings, transformation documentation, and operational runbooks.
  • Monitor pipeline runs, triage failures, and support the data platform day to day.
  • Prepare trusted datasets and Power BI semantic models for portfolio analytics, asset strategy, finance, and risk.

Requirements

  • Experience building data pipelines as a Data Engineer or in a similar role.
  • Strong Python, PySpark, and SQL skills.
  • Hands-on Microsoft Fabric experience, or experience with Databricks, Azure Synapse, or Azure Data Factory and willingness to move to Fabric.
  • Comfort with Git, pull requests, and CI/CD; Terraform or other infrastructure-as-code experience is a plus.
  • Understanding of dimensional or medallion data modeling and data quality practices.
  • Strong analytical, verbal, and written communication skills and the ability to work collaboratively.
  • A degree in Computer Science, Information Systems, Data Science, or a related field is preferred.
  • Financial data experience in areas such as loan servicing, transactions, reference data, IBOR, or ABOR, or experience in Real Estate, Credit, Banking, or NPL Asset Management, is desirable.
  • Microsoft certification such as DP-700 Fabric Data Engineer is a plus.

Tech Stack

DatabricksGitMicrosoft SQL ServerPythonSnowflakeTerraform

Categories

Data Engineering
Arrow Global Group

About Arrow Global Group

501-1,000 employees
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