Data Engineer

HSB

Birkenhead

Hybrid

GBP 55,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Annual leave + holidays
Pension from day 1
Annual bonus
Private medical insurance
Life assurance
Well-being & development
Professional development support
Hybrid working

Job summary

HSB is seeking a Data Engineer in Birkenhead with hybrid working and 35 hours per week. You will design and deliver scalable data pipelines on SQL Server and Azure, build modular data components, and own end-to-end data solutions across deployment, monitoring and issue resolution.

The role requires strong T-SQL, data modelling, ETL/ELT knowledge, and experience with Git and Azure data tools. Collaboration and continuous improvement are key aspects of the position.

Qualifications

  • Experience with SQL Server and T-SQL development.
  • Design and build modular reusable data components.
  • Understanding of data modelling, schema design and performance.
  • Familiarity with ETL/ELT concepts and data pipelines.
  • Experience using Git and version control.
  • Exposure to Azure data tools like Azure SQL, Data Factory or Synapse.
  • Understanding of SDLC principles.
  • Strong attention to detail and problem-solving.
  • Ability to communicate effectively with both technical and non-technical colleagues.
  • Experience supporting SQL Server environments.
  • Exposure to cloud-based data platforms (Azure).
  • Experience in structured development or delivery environments.
  • Involvement in system improvements or modernisation initiatives.

Responsibilities

  • Collaborate with stakeholders to design and deliver scalable, high-quality data pipelines and models across SQL Server and Azure platforms.
  • Develop simple, modular, reusable data components following best practices to enhance maintainability, performance, and governance.
  • Own end-to-end delivery of data solutions, including deployment, monitoring, and proactive resolution of issues within Azure DevOps environments.
  • Drive continuous improvement through transparent communication, code reviews, constructive feedback, and adoption of modern data engineering practices.

Skills

SQL Server
T-SQL
Data modelling
Azure data tools
Git
SDLC
Communication
Problem solving
Structured delivery

Tools

Azure DevOps
Data Factory
Azure Synapse
SQL Server tooling

Job description

Data Engineer

Location: Birkenhead - Hybrid working

Working hours: 35 hours per week

Responsibilities
  • Collaborate with stakeholders to design and deliver scalable, high-quality data pipelines and models across SQL Server and Azure platforms.
  • Develop simple, modular, reusable data components following best practices to enhance maintainability, performance, and governance.
  • Own end-to-end delivery of data solutions, including deployment, monitoring, and proactive resolution of issues within Azure DevOps environments.
  • Drive continuous improvement through transparent communication, code reviews, constructive feedback, and adoption of modern data engineering practices.
Qualifications
  • Experience working with SQL Server and strong T‑SQL development skills.
  • Ability to design and build modular and reusable data components.
  • Understanding of data modelling, schema design and performance optimisation.
  • Familiarity with ETL/ELT concepts and data pipeline development.
  • Experience using Git and version control practices.
  • Exposure to Azure data tools such as Azure SQL, Data Factory or Synapse.
  • Understanding of structured development practices and SDLC principles.
  • Strong attention to detail and problem‑solving skills.
  • Ability to communicate effectively with both technical and non‑technical colleagues.
  • Experience supporting or improving SQL Server environments.
  • Exposure to cloud‑based data platforms (ideally Azure).
  • Experience working in structured development or delivery environments.
  • Involvement in system improvements or modernisation initiatives.
Benefits
  • 25 days Annual Leave + Bank Holidays + Well‑being days
  • 10% Pension contribution from day 1
  • Eligibility for an Annual Bonus
  • Private Medical Insurance
  • Life Assurance
  • Well‑being and Development Scheme + EAP
  • Study & continuing Professional Development Support
  • Hybrid Working
Diversity, Equity & Inclusion

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.

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