Data - UK

DBD International; Warrington; On-site; GBP 55,000 - 80,000; Full time

Benefits offered by this job

Up to 20% bonus

25 days holiday

Enhanced pension

Private health insurance

Private dental

and more

Job summary

DBD International seeks a Data Engineer to build and maintain data pipelines, models and transformations powering reporting, analytics and integration across a complex delivery programme. You will work hands-on with SQL and cloud data platforms, ensuring data is structured, accessible and usable by the wider business.

The role involves collaborating with data architects and analysts, ensuring data quality and traceability, and contributing to continuous improvement of data processes within the

Qualifications

• Around 3-5 years' experience in a data-related role (data engineering, data modelling, analytics engineering).
• Strong competence in SQL, plus at least one scripting or data query language (Python).
• Experience with cloud-based data platforms (Azure, AWS, Fabric, Snowflake, Databricks or equivalent).
• Experience building or supporting data pipelines, transformations or models used in reporting, analytics or applications.
• Degree in Computer Science, Data Science, Engineering or related discipline (or equivalent professional experience).
• Experience in a regulated or safety-critical industry (energy, aerospace, nuclear, defence) is desirable but not essential.

Responsibilities

• Building and maintaining data models (logical and physical) used for reporting, analytics and integration.
• Writing and optimising SQL to query, transform and structure data across platforms.
• Designing and implementing data pipelines and transformations on cloud-based data platforms.
• Collaborating with data architects, analysts and digital teams to ensure data usability.
• Supporting data quality, security and classification standards as data moves across systems.
• Documenting data lineage, structures and transformation logic for traceability.
• Gathering requirements from stakeholders and translating them into data structures and pipeline components.
• Contributing to continuous improvement of data processes, guidance and documentation.

Education

Bachelor's degree in Computer Science, Data Science, Engineering or related field

Tools

SQL

Python

Azure

AWS

Microsoft Fabric

Snowflake

Databricks

Job description

Role summary

We're looking for a Data Engineer to build and maintain the data pipelines, models and transformations that power reporting, analytics and integration across a complex delivery programme. You'll work hands-on with SQL and cloud data platforms, ensuring data is structured, accessible and usable by the wider business.

Role summary

We're looking for a Data Engineer to build and maintain the data pipelines, models and transformations that power reporting, analytics and integration across a complex delivery programme. You'll work hands-on with SQL and cloud data platforms, ensuring data is structured, accessible and usable by the wider business.

What you will be doing

• Building and maintaining data models (logical and physical) used for reporting, analytics and integration.
• Writing and optimising SQL to query, transform and structure data across platforms.
• Designing and implementing data pipelines and transformations, working across cloud-based data platforms.
• Working alongside data architects, analysts and digital teams to ensure data is usable, accessible and aligned to business needs.
• Supporting data quality, security and classification standards as data moves across systems.
• Documenting data lineage, structures and transformation logic for traceability.
• Gathering requirements from stakeholders and translating them into data structures and pipeline components.
• Contributing to continuous improvement of data processes, guidance and documentation.

Formal qualifications or training

• Around 3-5 years' experience in a data-related role (e.g. data engineering, data modelling, analytics engineering).
• Strong competence in SQL, plus at least one scripting or data query language (e.g. Python).
• Experience working with cloud-based data platforms (e.g. Azure, AWS, Microsoft Fabric, Snowflake, Databricks or equivalent).
• Experience building or supporting data pipelines, transformations or models used in reporting, analytics or applications.
• Degree in Computer Science, Data Science, Engineering or a related discipline (or equivalent professional experience).
• Experience in a regulated or safety-critical industry (energy, aerospace, nuclear, defence) is desirable but not essential.

Make a Difference with DBD

At DBD, we know you're looking for more than just a job - you aspire to make a real impact in the nuclear industry. We offer unique opportunities for growth, empowering you to take influential roles within client organisations.

Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year, over the past two years, we continue to welcome new, talented individuals to our team.

We're committed to your success. DBD invests in your development and supports your career trajectory in any direction you want to take it.

Join us to play a key role in shaping the nuclear sector's future.

Make a difference today with DBD.

Benefits

• up to 20% bonus
• 25 days holiday
• enhanced pension
• private health insurance
• private dental
• and more