1 to 25 of 37 Remote Contract Databricks Jobs

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 ❯

. 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. Nice to Have More ❯

technologies in data engineering, and continuously improve your skills and knowledge. Profile The Data Engineer will have 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 ❯

people focused data engineering and analysis. You will have experience in a data engineering role, ideally with practical experience or the ability to upskill in cloud services like Azure, Databricks and ESRI, as well as excellent proven proficiency, SQL and Python. Ideally you would have a familiarity with developing pipelines which support Analysts who use RStudio Power BI 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user More ❯

on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user More ❯

Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. Python or automation is a plus. Knowledge of A/B testing and statistics. Strong communication and storytelling skills to influence diverse audiences. Experience with call More ❯

organisations.Strong understanding 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 (e.g., utilities, finance 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 ❯

Databricks Engineer - SC Cleared Fully Remote Duration: 6 Months Location: London Rate: £500-£550 per day (Inside IR35) Start Date: ASAP Are you an SC Cleared Databricks Engineer with a passion for building scalable data solutions? Do you have extensive experience in designing and optimising data pipelines, cloud-native platforms, and advanced analytics ecosystems? We are working with a leading … multinational client seeking a skilled Databricks Engineer to drive innovation and enable data-driven decision-making, advanced analytics, and AI capabilities. The successful client will be responsible for designing, developing, and optimising data pipelines and analytics solutions using Databricks within a secure environment Critical Skills Extensive experience with Databricks (Spark, Delta Lake, and MLflow). Proficiency in ETL/ELT More ❯

Databricks Engineer (SC Cleared) London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) Databricks Engineer needed with active SC Security Clearance for 6 Month Contract based in Central London (Hybrid). Developing a cutting-edge Azure Databricks platform for economic data modelling, analysis, and forecasting. Start ASAP in Nov/Dec 2025. Hybrid Working - 2 days/… Central London office. A chance to work with a leading global IT and Digital transformation business specialising in Government projects: In-depth Data Engineering + strong hands-on Azure Databricks expertise. Azure Data Services, Azure Data Factory, Azure Blob Storage + Azure SQL Database. Designing, developing, building + optimising data pipelines, implementing data transformations, ensuring data quality and reliability. Deep More ❯

within a consumer function. Key Skills & Experience: Previous experience working within Collections Strong knowledge of Credit Reference Agencies 2 years' minimum of experience in Credit Risk Advanced talent with Databricks, Python, SQL , Power BI Expert-level skills in Microsoft Excel Proven ability to translate complex data sets into clear, actionable insights for senior leadership Excellent communication skills and senior stakeholder More ❯

GDPR, BCBS 239, DORA). Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation. Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools. Promote data literacy and deliver training across the organisation. Provide audit and regulatory evidence, supporting internal/external audits and exams. Report on data governance More ❯

prioritise and deliver value What We're Looking For 10+ years of Agile/Scrum delivery experience in banking or financial services Strong understanding of data platforms, ideally with Databricks, Data Lakehouse, or Medallion Architecture Experience working with Finance data/reporting in a corporate or investment banking context Excellent stakeholder management and communication skills Confident using JIRA and leading More ❯

prioritise and deliver value What We're Looking For 10+ years of Agile/Scrum delivery experience in banking or financial services Strong understanding of data platforms, ideally with Databricks, Data Lakehouse, or Medallion Architecture Experience working with Finance data/reporting in a corporate or investment banking context Excellent stakeholder management and communication skills Confident using JIRA and leading More ❯

data-driven decision-making. Responsibilities for the Senior Data Engineer: Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights Lead by example on engineering excellence, mentoring junior engineers and driving … protection of customer data Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing … Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure , and data architecture design , looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance. Data Engineer, Senior More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data More ❯