Data Engineer/Senior Data Engineer Opportunities

ComXps; United Kingdom; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company is seeking both a Senior Data Engineer and a Data Engineer for permanent positions in the UK. Candidates should possess strong communication skills and deep expertise in data engineering tools like Python and SQL, with experience in cloud environments such as Microsoft Azure. The roles involve designing scalable data pipelines, applying DevOps principles, and working collaboratively within agile teams. Ideal candidates will have technical qualifications and a proactive approach to problem-solving.

Qualifications

• Strong communicator able to articulate technical concepts.
• Deep expertise in data engineering tools and practices.
• Experience in cloud-native data services, especially Microsoft Azure.

Responsibilities

• Design and implement scalable data pipelines.
• Apply DevOps principles to data engineering.
• Work in agile, multi-disciplinary teams.

Skills

Communication

Problem-Solving

Teamwork

Adaptability

Creativity

Education

Technical Qualifications (e.g., Fabric Data Engineer Associate, Microsoft Azure Data Engineer)

Tools

Python

SQL

Azure Data Factory

Talend

dbt

Power BI

Job description

We have two roles available:

• Senior Data Engineer
• Data Engineer

Both roles are permanent positions.

Location: To be confirmed.

Clearance: SC

These roles require the following:

Essential competencies Personal attributes:

• Strong communicator, able to clearly articulate technical concepts to both technical and non-technical stakeholders.

• Confident working independently or as part of a collaborative, cross-functional team.

• Skilled at building trust with clients and colleagues, with a consultative and solution-focused approach.

• Demonstrated leadership and mentoring capabilities, supporting the growth and development of engineering teams.

• Organised and adaptable, with excellent time management and the ability to respond to shifting priorities.

• Self-motivated, proactive, and committed to continuous learning and improvement.

• Creative problem-solver with the ability to think critically and deliver innovative, practical solutions.

• Team-oriented, with a positive attitude and a strong sense of ownership and accountability.

Technologies, Methodologies and Frameworks:

• Deep/Solid expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory, Talend, dbt).

• Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview.

• Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB).

• Familiarity with data governance, metadata management, and data quality frameworks.

• Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring.

• Solid understanding of data security and compliance best practices, including secure data handling and regulatory requirements (e.g., Secure by design).

• Comfortable working in agile, multi-disciplinary teams, contributing across the full delivery lifecycle and supporting continuous improvement.

• Adaptable and quick to learn new tools, frameworks, and technologies to meet the needs of diverse client projects.

Desirable skills

• Experience working in secure customer environments.

• Familiarity with working in government or defence sectors, or other complex public sector environments.

• Industry recognised Technical Qualifications. (e.g., Fabric Data Engineer Associate, Microsoft Azure Data Engineer, Databricks, dbt).

• Knowledge and experience of delivering AI-based solutions

• Proficiency in Power BI, including data modelling, DAX, and building interactive dashboards and reports that support data-driven decision-making.