Hybrid Data Engineer

Posted last month

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About the role

  • Data Engineer designing and maintaining data architecture at Leonardo in the UK, focusing on data ingestion and processing pipelines. Collaborating with cross-functional teams on various projects.

Responsibilities

  • Design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data.
  • Own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system.
  • Orchestrate ingestion and storage of raw data into structured or unstructured solutions.
  • Implement reliable, scalable, and tested solutions to automate data ingestion.
  • Develop systems to manage batch processing and real-time streaming of data.
  • Evaluate business needs and objectives.
  • Support implementation of data governance requirements.
  • Facilitate pipelines, which prepare data for prescriptive and predictive modelling.
  • Collaborate with data scientists, IT and architects on several projects.

Requirements

  • Previous experience as a data or software engineer in a similar role.
  • Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services.
  • Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration.
  • Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.)
  • Knowledge of programming languages (e.g. Java, Python, SQL)
  • Hands-on experience with SQL/NoSQL database design.
  • Degree in STEM, or similar field; a Master’s is a plus.
  • Data engineering certification (e.g IBM Certified Data Engineer) is a plus.

Benefits

  • Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
  • Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.
  • Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity.
  • Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.
  • Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
  • Refer a friend: Receive a financial reward through our referral programme.
  • Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
  • Flexible working: Flexible hours with hybrid working options.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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