4 of 4 Contract Python Data Engineer Jobs

Data Engineer - Python, Snowflake, Healthcare £Market Rate (Inside IR35) London/Hybrid 6 months I am currently working with a high profile client who urgently require a Data Engineer with experience in Python, SQL and Snowflake to join a business-critical programme. Key Requirements: Proven experience as a Data Engineer, within Healthcare … Proficiency in Azure Data Factory, Azure Synapse, Snowflake, and SQL. Strong Python skills, including experience with PySpark and metadata-driven frameworks. Familiarity with cloud platforms (Azure preferred), pipelines, and production code. Solid understanding of relational databases and data modelling (3NF & dimensional). Strong communication skills and ability to work across full project lifecycle. Experience with incident management … testing, and release processes. Nice to have: Familiarity with Redgate SQL Toolbelt, Visual Studio, and Team Foundation Services. Exposure to healthcare data, medical statistics, and clinical analytics. Awareness of FHIR standards If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't More ❯

Senior Data Engineer (AI & MLOps) - Software - Newcastle/Hybrid or Remote Day rate: £300 - £500 (Inside IR35) Duration: 6 months Start: ASAP My new client is looking for a Senior Data Engineer with expertise in AI, MLOps, and AWS architecture to design and deliver production-grade machine learning pipelines. The ideal candidate will be passionate about … bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. Design and optimize … data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability More ❯

i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote. The role falls inside IR35 so you will have to work through an umbrella company. You will have several years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. You will have experience of designing and … implementing tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Experience in data development and solutions in highly complex data environments with large data volumes. SQL/PLSQL experience with the ability to write ad-hoc and complex queries … to perform data analysis. Databricks experience is essential. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including More ❯

i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote. The role falls inside IR35 so you will have to work through an umbrella company. You will have several years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. You will have experience of designing and … implementing tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Experience in data development and solutions in highly complex data environments with large data volumes. SQL/PLSQL experience with the ability to write ad-hoc and complex queries … to perform data analysis. Databricks experience is essential. Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud). You must be able to collaborate seamlessly across diverse technical stacks, including More ❯