Data Engineer

About Us

At Agile, we believe in the power of data to transform lives, and those our customers serve, and are dedicated to unlocking the full potential of data for our clients. We offer comprehensive services across various industries, including Data Strategy, Governance, Data Platform Engineering, Visualisation, Analytics, and Insights. Our goal is to deliver tangible business benefits by helping our clients manage, monetise, and leverage their data effectively. As a trusted partner of Microsoft, Informatica, AWS, and Snowflake, we're poised for growth.

We’re dedicated to fostering a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation and fosters creativity. We actively promote diversity and inclusion through our hiring practices, employee development initiatives, and company culture. We are committed to providing equal opportunities for all employees, regardless of race, ethnicity, gender, sexual orientation, age, ability, or background.

About The Role

We are looking for an experienced and solutions-focused Data Engineer with strong Power BI expertise. The role includes leading the delivery of scalable, high-quality data pipelines and analytics platforms that power business intelligence, visualisation, and reporting across digital services.

This position involves autonomy in contributing to architectural decisions and engineering standards, with a key focus on Power BI implementation, DAX development, and dashboard optimisation. It suits someone capable of owning data engineering and reporting workstreams, mentoring junior staff, and aligning technical output with strategic business goals.

Your Responsibilities

• Design, develop, and maintain production-grade data pipelines that support Power BI dashboards and reporting models.
• Develop and optimise Power BI datasets, dataflows, dashboards, and paginated reports to deliver actionable insights.
• Implement secure, efficient, and automated data flows to feed Power BI from various structured and unstructured sources.
• Lead robust data integration solutions (ETL/ELT) across both batch and streaming contexts using tools such as Azure Data Factory, Synapse, or Dataflows.
• Collaborate with stakeholders to translate business needs into data models and Power BI visualisations.
• Implement performance tuning and optimisation for DAX measures and Power BI models.
• Work closely with platform engineers and architects on solution design for analytics environments including Power BI workspaces and governance.
• Maintain version-controlled and well-documented Power BI assets aligned to enterprise development practices.
• Contribute to Power BI governance practices (e.g., certified datasets, role-based access, workspace strategy).

About You

It would be ideal if you would have…

• Experience in data engineering or backend development with strong exposure to Power BI.
• Proven hands-on experience developing and deploying Power BI reports, dashboards, and DAX measures.
• Proficiency in SQL and experience working with relational and analytical databases along with languages such as Spark/PySpark.
• Familiarity with Power Query (M) language and advanced transformations.
• Strong programming skills in Python.
• Exposure to orchestration tools (Airflow, dbt, Dataform) and integration with Power BI.
• Experience with Azure-based data services (Azure Data Lake, Synapse, Data Factory, Fabric) and their integration with Power BI.
• Knowledge of data modelling techniques including star/snowflake schema design for BI solutions.
• Understanding of DevOps/DataOps principles as applied to Power BI CI/CD and workspace automation.

What You Will Get in Return

Annual Leave: 25 days + Bank Holidays

Expenses: Reimbursement for travel and subsistence

Lifestyle / Personal Benefits:

• Company pension contributions
• Electric Vehicle Salary Sacrifice
• Private Medical Insurance
• Health Cash Plan
• My Gym Discounts
• Death in Service (4 x basic salary)
• Employee recognition with Amazon vouchers
• Certificate of Sponsorship Support/Indefinite Leave to Remain
• Subsidised employee parking (MK Office)
• Enhanced Maternity and Paternity Pay

Culture and other Benefits:

• Career Progression, training, and development
• Supportive and passionate colleagues
• Social Solutions (supporting health and wellbeing)
• Flexibility in working hours/pattern
• Positive company brand, image, and reputation
• Welcoming office premises in MK