Data Engineer @6Analytix consultancy

We are looking for a talented Data Engineer to help drive the next stage of our data transformation. This role is focused on building and optimising an Azure-based data platform, developing high-performing pipelines in Azure Data Factory, and supporting the transition toward Microsoft Fabric. You will work closely with BI Analysts and teams across the business to deliver reliable, high-quality data that enables smarter decision-making and deeper business insights. This is an opportunity to help shape a modern, scalable data environment and make a meaningful impact on how data is used across the organization. Key Responsibilities Design, build, and maintain a scalable Azure-based data warehouse that meets the current and future requirements of the Data & Analytics team. Lead the introduction, adoption, and optimisation of Microsoft Fabric (e.g. Lakehouse, Warehouse, Data Engineering, Pipelines). Apply CI/CD practices (e.g. Azure DevOps) for version control, deployment automation, and environment management. Implement data quality checks, pipeline observability, alerting, and automated monitoring to ensure consistent platform reliability. Work collaboratively with data owners and the wider data team to ensure data definitions, lineage, and ownership are clearly established. Provide technical guidance and coaching to wider data team members on data engineering best practices. For a full list of responsibilities, please refer to the attached Role Profile. Our Ideal Candidate Will Have Education and Qualifications Degree in Computer Science, Data Engineering, Mathematics, or a related discipline, or equivalent experience (Essential). Microsoft certifications in SQL, Microsoft Fabric (including Power BI), or other Azure Data Services (Desirable). Experience Advanced SQL skills, including optimisation of complex queries (Essential). Experience building data pipelines and ETL/ELT workflows using tools such as: Azure Data Factory Databricks Airflow Luigi Or similar technologies (Essential) Strong understanding of data modelling (Essential). Programming skills in Python and/or Scala for data processing (Desirable). Experience with machine learning pipelines or MLOps frameworks (Desirable). Personal Attributes Confident communicator able to engage both technical and non-technical audiences. Proactive, innovative, and committed to continuous improvement. Collaborative, with mentoring and leadership capabilities. Customer-focused, with a commitment to improving services through data. Experience working in a busy, fast-paced environment while managing multiple projects and meeting deadlines. About the Organisation We are a housing association providing quality homes and services across our operating region. We manage more than 6,000 homes, including affordable housing for people who cannot afford to rent or buy on the open market. We also provide specialist housing for older and vulnerable adults and remain committed to delivering new homes that help address the housing shortage. Working With Us We are committed to creating an environment where employees feel happy, empowered, motivated, and proud to be part of the organisation. We invest in our people by providing continuous learning opportunities through a blend of training programmes and self-directed e-learning, helping employees build skills for both current responsibilities and future career aspirations. We support agile and flexible working, giving colleagues the freedom to work from a variety of suitable locations while maintaining a healthy work-life balance. Our workspaces are designed to encourage collaboration and modern ways of working. We are an inclusive employer committed to equal opportunities and maintaining a workplace free from discrimination based on age, disability, sex, sexual orientation, pregnancy and maternity, race, ethnicity, religion or belief, gender identity, or marital status. We actively encourage applications from suitably qualified candidates from a wide range of backgrounds and are committed to building a diverse and inclusive workforce.