Data Engineer

Data Engineer – Leonardo

Your Impact

As a Data Engineer, you will design, develop, deploy, and maintain data architecture that transforms raw data into processed data. You will own the data operations infrastructure, managing and optimising performance, reliability, and scalability to meet growing demands on ingestion and processing pipelines.

• Orchestrate ingestion and storage of raw data into structured or unstructured solutions.
• Design, develop, deploy, and support data infrastructure, pipelines, and architecture.
• Implement reliable, scalable, and tested solutions to automate data ingestion.
• Develop systems for batch processing and real‑time streaming of data.
• Evaluate business needs and objectives.
• Support implementation of data governance requirements.
• Facilitate pipelines that prepare data for prescriptive and predictive modelling.
• Collaborate with domain teams to scale data processing.
• Identify opportunities for data acquisition.
• Combine raw information from different sources.
• Manage and maintain automated tools for data quality and reliability.
• Explore ways to enhance data quality and reliability.
• Collaborate with data scientists, IT, and architects on multiple projects.

Successful candidates will have previous experience as a data or software engineer in a similar role. Key attributes include:

• Technical expertise in designing, building, and maintaining data pipelines and warehouses, and leveraging data services.
• Proficiency in Data Ops methodologies and tools, including CI/CD pipelines, containerisation, and workflow orchestration.
• Familiarity with ETL/ELT frameworks and experience with Big Data processing tools (e.g., Spark, Airflow, Hive).
• Knowledge of programming languages such as Java, Python, and SQL.
• Hands‑on experience with SQL/No
  
  SQL database design.
• Degree in STEM or a similar field (a master’s is a plus).
• Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.

This is not an exhaustive list; we welcome candidates who may lack some listed skills but bring a strong attitude and willingness to learn.

This role requires pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). All successful applicants must be eligible for full security clearance and access to UK‑caveated and ITAR controlled information.

• Generous leave with up to 12 additional flexi‑days each year.
• Employer‑contributed pension scheme with up to 15% contribution.
• Free access to mental health support, financial advice, and inclusive employee networks.
• Bonus scheme for employees at management level and below.
• Free access to over 4,000 online courses via Coursera and Linked In Learning.
• Referral programme with financial reward.
• Flexible spending of up to £500 on benefits such as private healthcare, dental, family cover, tech, and gym memberships.
• Flexible hybrid working hours with options for part‑time arrangements.

Primary

Location:

GB – Edinburgh
Additional

Location:

GB – Newcastle

Contract Type:
Permanent
Hybrid Working:
Hybrid