Job Title

Analytics Data EngineerLocation: Birmingham (Hybrid/Remote options available)Salary: £40,000 - £75,000 (depending on experience)The OpportunityJoin a forward-thinking Financial Services leader driving a groundbreaking Data Modernisation programme. We’re seeking talented Analytics Data Engineers to shape the future of data-driven decision-making in a fast-paced, innovative environment. This permanent role offers a competitive salary, flexible working, and the chance to work with cutting-edge cloud technologies to deliver impactful data solutions.As an Analytics Data Engineer, you’ll design and build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud-native tools like Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes.Key ResponsibilitiesDevelop Scalable Data Pipelines: Design and implement ETL/ELT workflows using Python, SQL, and cloud-native tools to support analytics and reporting needs.Enable Business Insights: Build intuitive, optimised data models for platforms like Power BI, Tableau, or Looker to enable self-service analytics for non-technical users.Ensure Data Excellence: Implement robust data governance, quality, and security practices within a decentralised Data Mesh framework.Collaborate Across Teams: Partner with data scientists, analysts, and business stakeholders to translate requirements into high-performance data products.Drive Continuous Improvement: Proactively identify opportunities to optimise data workflows, adopt emerging technologies, and enhance analytics capabilities.Requirements:Technical Proficiency: Hands-on experience building ETL/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker).Cloud Expertise: Familiarity with cloud platforms like Snowflake, Databricks, or AWS/GCP/Azure for scalable data solutions.Data Modelling Mastery: Strong understanding of dimensional and relational modelling techniques for analytics use cases.Stakeholder Engagement: Excellent communication skills to work with cross-functional teams and present solutions to technical and non-technical audiences.Innovative Mindset: A proactive approach to exploring new tools, staying ahead of industry trends, and driving best practices in data engineering.Why Join our client?Work with cutting-edge technologies in a collaborative, innovative culture.Flexible hybrid/remote working options to suit your lifestyle.Opportunities for professional growth and impact in a high-visibility Data Transformation programme.If you’re excited to shape the future of data in Financial Services, apply with your latest CV to join our mission!