Data Engineer (London Area)

Intellect Group
London
1 week ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Role: Data Engineer

Location: London, UK (Hybrid)

Salary: £40k–£55k (DOE)


Are you passionate about building robust data infrastructure and enabling powerful analytics? Join a fast-paced, collaborative environment where you’ll help shape the future of data-driven decision-making across the business.


We are looking for a Data Engineer with a solid foundation in cloud technologies, data pipelines, and modern data architecture to support large-scale data solutions that drive business intelligence and analytics across the organisation.


Your Responsibilities:

  • Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes.
  • Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets.
  • Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data needs and deliver value.
  • Ensure data integrity: Implement quality checks, validation processes, and monitoring for high data reliability.
  • Enhance performance: Optimise database queries and data workflows for speed and efficiency.
  • Visualise insights: Build reports and dashboards in Power BI to support key business decisions.
  • Champion best practices: Ensure data governance, security, and compliance standards are met.
  • Stay current: Keep up with the latest trends in data engineering, cloud, and analytics tools.


Requirements:

  • Bachelor’s degree in Computer Science, Data Engineering, IT, Mathematics, or a related field.
  • Up to 4 years of experience as a Data Engineer or similar role (e.g., Software Engineer).
  • Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB).
  • Familiarity with cloud platforms (preferably Azure).
  • Experience with ETL/ELT frameworks and tools such as dbt.
  • Proficiency in data orchestration tools like Dagster or similar.
  • Understanding of data modelling, warehousing, and architecture best practices.
  • Experience using Power BI or similar tools for visualisation.
  • Bonus: Familiarity with containerisation tools such as Docker and Kubernetes.


It’s A Bonus If You Have:

  • Experience working in insurance, finance, or other data-heavy industries.
  • A proactive, problem-solving mindset with a collaborative approach.
  • An eye for detail and a passion for optimising data performance.


The Benefits:

  • Career progression: Join a growing team with opportunities to advance and grow your skills.
  • Innovative tech stack: Work with modern data tools and contribute to a forward-thinking infrastructure.
  • Flexible hybrid working: Enjoy the balance of office collaboration and remote flexibility.
  • Competitive compensation: A salary package that recognises your experience and potential.


If you’re a motivated Data Engineer ready to take the next step in your career and build impactful data solutions, we want to hear from you. Apply now to be part of a team transforming data into business value.

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