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Senior Data Engineer (Azure, Spark SQL, Team Lead)

HOK Consulting - Technical Recruitment Consultancy

Sheffield

Hybrid

GBP 55,000 - 65,000

Full time

6 days ago
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Job summary

A leading technical recruitment consultancy is seeking a Senior Data Engineer to work on exciting hybrid contract opportunities in the Banking and Financial Services sector. This role involves leading projects focused on data migration to Spark SQL on Azure, utilizing strong SQL skills and team leadership experience in an Agile setting. Candidates should be proficient in ETL workflows and familiar with Azure Databricks.

Qualifications

  • Hands-on expertise in SQL/BigQuery migration.
  • Experience with Azure and cloud data tools.
  • Leadership in Agile/SAFe environments.

Responsibilities

  • Lead data migration projects and agile team.
  • Migrate BigQuery SQL to Spark SQL.
  • Build ETL workflows utilizing Azure Databricks.

Skills

SQL
BigQuery SQL
Spark SQL
Python
ETL pipeline development
Agile
Team leadership

Education

Relevant degree in Computer Science or related field

Tools

Azure Databricks

Job description

Direct message the job poster from HOK Consulting - Technical Recruitment Consultancy

I introduce talented IT Professionals to exciting contract opportunities within Banking & Financial Services

Location: Hybrid (3 days/week from Sheffield)

We are looking for a Senior Data Engineer with hands-on expertise in SQL/BigQuery migration, Azure Databricks, and Spark SQL, who also brings team leadership experience and thrives in Agile/SAFe/Scrum environments.

Key Responsibilities:

  • Lead and contribute to a small Agile team working on a cross-cloud data migration project.
  • Migrate complex BigQuery SQL transformations to Spark SQL on Azure.
  • Build & execute ETL workflows using Azure Databricks and Python.
  • Drive automation of SQL workflows and artefact migration across cloud providers.
  • Collaborate with developers, POs, and stakeholders on quality delivery and performance optimization.

Key Requirements:

  • Strong SQL skills (BigQuery SQL & Spark SQL), Python, and ETL pipeline development.
  • Experience with Azure and cloud data tools.
  • Familiarity with CI/CD practices and automation.
  • Proven team leadership and organisational capabilities.
  • Comfortable with Agile/SAFe/PI Planning methodologies.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Information Services and Technology, Information and Media

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