1 to 25 of 50 Contract Databricks Jobs in the UK excluding London

data engineering solutions Strong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse More ❯

availability of data assets. Experience: 3-5 years of hands-on experience as a Data Engineer working in Azure cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version More ❯

robust data platforms. Innovation Stay current with emerging Azure technologies and best practices in data architecture. Required Skills & Experience Technical Expertise Extensive experience with Azure Data Services: Data Factory, Databricks, Synapse, Data Lake, Azure SQL. Strong understanding of data modeling, data warehousing, and distributed computing. Proficiency in Python, SQL, and Spark for data engineering tasks. Financial Services Domain Proven track More ❯

. Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling (star/snowflake schemas, SCDs, lineage). Proven Azure experience (Data Factory, Synapse, Databricks) for orchestration and integration. Proficient in SQL for complex analytical transformations and optimisations. Comfortable working in agile teams and using Azure DevOps for CI/CD workflows. Prior experience in More ❯

experience with Snowflake and DBT.* Proficient in SQL and experienced in data modelling within cloud data warehouses.* Familiarity with cloud platforms such as AWS or Azure.* Experience with Python, Databricks, or related data engineering tools beneficial.* Excellent problem-solving and analytical skills, with strong attention to detail.* Strong communication and collaboration abilities, with the ability to work effectively in a More ❯

new data & analytics platform capabilities Experience with developing data features and associated transformation procedures on a modern data platform. Examples include (but not limited to) Azure Fabric, AWS Lakeformation, Databricks or Snowflake. Experience automating operations tasks with one or more scripting languages. Due to the nature of the project and the short turnaround required, the successful candidate must hold valid More ❯

design, PySpark and CDC integrations. Essential Skills and Experience Required Microsoft Fabric & Azure Expertise Proven experience implementing Microsoft Fabric solutions, particularly lakehouse architectures (Or other Lakehouse technologies such as databricks) Strong understanding of medallion architecture principles and best practices Experience with Fabric components: lakehouses, data warehouses, data pipelines, dataflows, notebooks Proficiency in PySpark, SQL, and DAX for data transformation and More ❯

The Data Engineer will demonstrated experience as a Data Engineer, with a strong track record of success. Mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention More ❯

Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring live services using tools such as Grafana, Prometheus More ❯

Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design … develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows Implement best practices for data governance, security, and quality across all pipelines. Collaborate with data scientists, analysts, and cross-functional … solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault More ❯

effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of relevant experience in data engineering or related More ❯

solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and/or More ❯

data processes for speed and scalability, ensuring efficient data processing. Is this the role for you? It could be if you: Have experience delivering analytical solutions (e.g. in the Databricks stack). Possess data modelling expertise using tools such as DataForm or DBT. Can orchestrate complex data pipelines. Enjoy building scalable, resilient analytical products. Seek continuous learning opportunities to deepen More ❯

Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and More ❯

routines, and monitoring processes to maintain data integrity and reliability. * Optimise data workflows for performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline, Databricks, or Apache Spark . * Integrate and prepare data for Tableau dashboards and reports , ensuring optimal performance and alignment with business needs. * Collaborate with visualisation teams to develop, maintain, and enhance More ❯

frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and More ❯

data modelling, and dashboard design.* Proficient in SQL and experienced in working with relational and cloud-based data sources.* Familiarity with Azure tooling such as Data Factory, Synapse, or Databricks beneficial.* Strong analytical mindset with exceptional attention to detail.* Strong communication and stakeholder engagement skills, with the ability to work effectively within cross-functional teams. Company * Large, well-known fashion More ❯

parameter-driven applications Exposure to CI/CD pipelines (ideally Azure DevOps) and cloud security best practices Strong collaboration and communication skills Nice to have: Immediate availability Experience with Databricks or Synapse Knowledge of Data governance in Azure ecosystems Infrastructure as Code (IaC) tooling If you're interested in this role, click 'apply now' to forward an up-to-date More ❯

of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem-solving skills, with experience in designing and implementing data quality KPIs and dashboards. Excellent stakeholder engagement and communication skills. Experience in regulated industries More ❯

of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem-solving skills, with experience in designing and implementing data quality KPIs and dashboards. Excellent stakeholder engagement and communication skills. Experience in regulated industries More ❯

Akkodis is partnering with a reputable client in Finance and they are looking for a Data Engineer with strong Databricks experience to expand their IT Team. They are currently improving their CX transformation programme and making changes to their institutional reporting suite. Job title: Data Engineer - Data BricksSTART :ASAPLocation: Liverpool Street - 3 days a eek (NON Negotiable), the rest WFHDuration … months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven experience with … Databricks and Snowflake.Strong proficiency in SQL and Python.Extract Load Transform procedures, Data Lineage & Analysis.Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).Experience with CI/CD and version control tools (e.g., Git).Excellent problem-solving and communication skills. Nice to have: Financial data knowledge on funds, securities, positions, trades and background in Asset Management. This opportunity is for a More ❯

governing complex data models. Ability to create scalable, self-service dashboards. Strong stakeholder engagement across engineering, insights, finance, and operations. Independent, proactive working style. Nice to Have: Experience with Databricks Python exposure HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. More ❯

and audit readiness. Systems & Process Integration: Collaborate with Technology and Finance teams to align data across platforms, ensuring migrations are executed right first time and leveraging modern tools (e.g., Databricks, Datasphere, Purview). Insight & Reporting Enablement: Partner with BI teams to surface unified, reconciled data models that support both management and statutory reporting. Capability Building: Define enduring roles and skills More ❯

Senior Data Engineer - Azure Databricks/SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days/week on site required Up to £620/day - Inside IR35 We are currently recruiting for a well experienced Senior Data Engineer, required for a leading global transformation consultancy, based in London. The Senior Data Engineer will be More ❯

Data Engineer (Databricks & Azure) - 3-Month Rolling Contract Rate: £400-£450 per day Location: Remote IR35 Status: Outside IR35 Duration: Initial 3 months (rolling) About the Company Join a leading Databricks Partner delivering innovative data solutions for enterprise clients. You'll work on cutting-edge projects leveraging Databricks and Azure to transform data into actionable insights. About the Role We … are seeking an experienced Data Engineer with strong expertise in Databricks and Azure to join our team on a 3-month rolling contract. This is a fully remote position, offering flexibility and autonomy while working on high-impact data engineering initiatives. Key Responsibilities Design, develop, and optimize data pipelines using Databricks and Azure Data Services . Implement best practices for … data ingestion, transformation, and storage. Collaborate with stakeholders to ensure data solutions meet business requirements. Monitor and troubleshoot data workflows for performance and reliability. Essential Skills Proven experience with Databricks (including Spark-based data processing). Strong knowledge of Azure Data Platform (Data Lake, Synapse, etc.). Proficiency in Python and SQL for data engineering tasks. Understanding of data architecture More ❯