Offer summary

Qualifications:

Bachelor's degree in Computer Science, Data Science, or a related field., Proficiency in SQL and experience with data modeling and ETL processes., Familiarity with data visualization tools and programming languages like Python or R., Strong analytical skills and ability to work with large datasets..

Key responsibilities:

Design and implement data pipelines to support analytics initiatives.

Collaborate with data scientists and analysts to understand data requirements.

Ensure data quality and integrity throughout the data lifecycle.

Generate reports and visualizations to communicate insights to stakeholders.

Job description

Analytics Data Engineer Location:London (Hybrid/Remote available) Salary:£45,000 - £70,000 based - on experience The Opportunity A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements. As an Analytics Data Engineer, you will be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products:Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance:Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service:Create intuitive data models and provide training to empower business users to explore data independently Own the Data Lifecycle:Take end-to-end responsibility for data products, from conception to deployment and continuous improvement Champion Innovation:Stay current with the latest trends and advocating for best practices across the organisation The Ideal Candidate We're looking for a curious, organised, and outcome-driven professional with a passion for data and collaboration. You should bring: Technical Expertise: Provenexperience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strongknowledge of dimensional modelling and database principles Governance Experience: Trackrecord of working in democratized data environments, establishing controls and guardrails Collaboration & Communication: Abilityto work effectively with senior stakeholders, present data solutions, and guide business users Problem-Solving Mindset: Exceptionalanalytical skills to tackle complex data challenges and deliver reliable, high-performance code

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