Data Engineer

As a Data Engineer based in Birmingham, you will be instrumental in driving the organisation’s transition from traditional on-premises systems to modern cloud-based architectures using Azure Cloud and Fabric. Your day-to-day responsibilities will involve designing scalable pipelines that facilitate efficient data flow across multiple platforms. You will collaborate with colleagues from different departments to gather requirements, implement best practices for security and governance, and use tools such as Azure Data Factory (ADF) and Power BI to deliver actionable insights. Success in this role requires attention to detail when documenting processes, proactive optimisation of performance, and a commitment to supporting both legacy systems and new developments. By staying informed about industry trends, you will help shape the future of data engineering within the organisation.

• Design and build robust data pipelines that ensure seamless integration between various sources and destinations.
• Lead the migration process from on-premises systems to Azure Cloud and Fabric environments, ensuring minimal disruption and maximum efficiency.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into effective technical solutions.
• Implement best practices for data management, security, and governance throughout all stages of the migration process.
• Utilise Azure Data Factory (ADF) to orchestrate complex workflows and automate data movement across platforms.
• Leverage Power BI to create insightful dashboards and reports that support decision-making across the organisation.
• Optimise performance of data solutions by monitoring usage patterns and proactively addressing bottlenecks or inefficiencies.
• Document all processes thoroughly to ensure knowledge sharing and continuity within the team.
• Provide ongoing support for existing data infrastructure while actively contributing to new development initiatives.
• Stay up-to-date with emerging technologies in cloud computing and data engineering to continuously improve solutions., This organisation stands out by offering flexible working opportunities tailored to individual needs, ensuring you can balance professional commitments with personal priorities. The team culture emphasises inclusivity, collaboration, and mutual support-creating an environment where every member feels valued. Generous pension contributions provide financial security for your future while comprehensive training programmes empower you to continually develop your skills. The leadership style here is supportive rather than directive; managers invest time in nurturing talent through mentorship and knowledge sharing. Employees benefit from being part of a network that encourages growth leadership rather than hierarchy-driven advancement. Whether you are looking for stability or seeking new challenges within a dependable framework, this company offers an exceptional platform for career progression without compromising on wellbeing or work-life balance.

The ideal candidate for the Data Engineer position will bring proven expertise in cloud-based technologies such as Azure Cloud services, along with hands-on experience using Azure Data Factory (ADF), Power BI, Fabric, and Synapse Analytics. Your ability to design scalable pipelines will be complemented by strong interpersonal skills that enable you to work collaboratively with colleagues across departments. Dependability in meeting deadlines, sensitivity towards inclusive practices, and a commitment to ongoing learning are key attributes that will set you apart. Your background should demonstrate successful delivery of complex migration projects as well as proficiency in optimising performance through innovative approaches. By combining technical acumen with a supportive attitude towards teamwork, you will contribute significantly to the organisation’s goals.

• Demonstrated experience working with Azure Cloud services in a professional setting is essential for this role.
• Proficiency in Azure Data Factory (ADF) for building automated workflows is required.
• Strong skills in Power BI for creating interactive dashboards and reports are necessary.
• Hands-on experience with Microsoft Fabric is highly valued for successful fabric implementation.
• Familiarity with Synapse Analytics for managing large-scale data processing tasks is important.
• Ability to design scalable data pipelines that integrate seamlessly across diverse environments is crucial.
• Excellent interpersonal skills enabling effective collaboration with cross-functional teams are expected.
• A commitment to continuous learning through training opportunities is desirable.
• Dependability in delivering high-quality solutions within agreed timelines is vital.
• Sensitivity towards inclusive practices that foster teamwork and knowledge sharing is appreciated.