3 of 3 Data Engineering Jobs in Lanarkshire

Role Title: Lead Data Engineer (Hybrid 2-3 days onsite) Location: Glasgow Duration: Until 31/12/2026 Day Rate: £382.50 Inside IR35 Role Description Join us as a Lead Data Engineer . You will focus on designing and building data pipelines, including real-time event streaming solutions. You will lead one of our data engineering teams, setting technical standards, reviewing code, and ensuring high-quality delivery across projects. Key Responsibilities Design, build and maintain scalable data architectures and pipelines. Implement and manage data warehouses and data lakes, ensuring data security, durability and accessibility. Develop data processing and analysis algorithms to handle complex, large-scale datasets. Collaborate with … data scientists to support machine learning model deployment. Lead and mentor a team of data engineers, setting coding standards and driving best practices. Partner with senior stakeholders to align data solutions with business strategy. Manage risk and ensure compliance with governance and control frameworks. Contribute to strategic planning, resourcing, and continuous improvement initiatives. Essential Skills Proven experience More ❯

Senior Data Engineer ESM Contract: 6 months Rate: £500 £550 per day (inside IR35) Location: Glasgow (3 days onsite per week) Start date: ASAP Our client, a large global consultancy, is seeking a Senior Data Engineer to join a Enterprise Systems Management (ESM) team on a contract basis. ESM plays a critical role in developing and maintaining applications … over 15 agile squads and contributing to technology solutions that support more than 10,000 developers and production engineers worldwide. Key Responsibilities: Design, develop, and maintain ESM applications across data management, automation, orchestration, and service management. Build and support self-service portals, incident/change management, and capacity management tools. Develop event management solutions, including monitoring, log-collection, correlation … across large-scale distributed systems. Collaborate with cross-functional teams to design scalable and reliable ETL processes using Python and Databricks. Develop and deploy ETL jobs, extracting and transforming data from multiple sources. Take ownership of the full engineering lifecycle: data extraction, cleansing, transformation, and loading. Create and manage data pipelines with robust error handling and More ❯

or GCP or AWS) Preferably Azure exposure and prior experience using Azure services or RHEL openshift FastAPI Any implementation using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes More ❯