1 to 25 of 27 Databricks Jobs in the Midlands

large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and streaming data sources Management of CI/ More ❯

candidate. If you meet around 75% of the criteria, we'd still love to hear from you. • Strong experience with data engineering tools and platforms (e.g. Azure Data Factory, Databricks, SQL, Python). • Proven ability to engage stakeholders and present insights through data visualisation tools and storytelling. • Experience with data modelling, warehousing, and integration. • Interest in and awareness of AI More ❯

real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in data governance and automation, even better. In More ❯

real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in data governance and automation, even better. In More ❯

CD and testing practices for data workflows Troubleshoot issues and continuously improve data infrastructure Explore AI-driven enhancements to boost data accuracy and productivity Requirements: Strong experience with: Azure Databricks, Data Factory, Blob Storage Python/PySpark SQL Server, Parquet, Delta Lake Deep understanding of: ETL/ELT, CDC, stream processing Lakehouse architecture and data warehousing Scalable pipeline design and More ❯

standards and best practices Skills and Experience Proven experience as a Data Architect Strong knowledge of data modelling, processing, and integration Hands-on experience with modern data platforms (Azure, Databricks or similar) Ability to translate business needs into robust data solutions Collaborative communicator with a passion for data and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure More ❯

standards and best practices Skills and Experience Proven experience as a Data Architect Strong knowledge of data modelling, processing, and integration Hands-on experience with modern data platforms (Azure, Databricks or similar) Ability to translate business needs into robust data solutions Collaborative communicator with a passion for data and innovation Technology Cloud & Data Platforms: Azure Synapse, Azure Data Lake, Azure More ❯

DevOps for version control and deployment Confident presenting to stakeholders and running end-user training sessions Passion for clean design and data storytelling Any exposure to Microsoft Fabric or Databricks is a bonus More ❯

and manage ETL pipelines and APIs to improve data delivery and accuracy Contribute to the overall data strategy alongside BI and analytics colleagues Tech You'll Use SQL Python Databricks Experience with web scraping or similar techniques would be a bonus. Interview Process Initial interview with the Data Manager Technical discussion/assessment (you'll walk through your approach to More ❯

strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith Background in data warehousing and data engineering Solid project management capabilities Outstanding communication skills, translating technical concepts into clear business value A collaborative, solution-oriented More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

multiple teams. This role falls outside IR35 and will require some travel to client sites. The chosen candidate will have experience in AWS, Azure and a strong knowledge of Databricks (ideally with some fabric exposure too). Key Responsibilities Lead the design and optimisation of scalable data architectures across cloud platforms. Drive the development of high-performance data pipelines and More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

need to have These are the essential skills or experience needed to succeed in this role. In-depth Azure knowledge and experience for data platform related technologies Experience with Databricks or equivalent cloud data tooling In-depth experience in design and development of IT and data solutions A broad and balanced understanding of IT capabilities, methods, and technologies Experience influencing More ❯

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities. We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One of our … Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

Fabric, including OneLake, Dataflows, Notebooks, and Power BI.? Strong understanding of data architecture, data modeling, and ETL/ELT processes.? Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.? Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods? Experience in pre-sales or client-facing consulting roles.? Ability to manage multiple projects … and priorities in a fast-paced environment.? Experience with SSRS/SSAS (Tabular with DAX & OLAP with MDX)/SSIS? Experience with Databricks, Pyspark, and other data sciences tools Experience of using Azure DevOps/Git? Microsoft Certified on Data (e.g. Fabric) This is a client-facing role, so the following are essential Excellent communication and presentation skills, with the More ❯

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work. As a senior member of the team you'll also contribute to technical discussions, strategic decision making and help to mentor more mid-level data engineers. Location/WFH: There's a remote interview and onboarding process and you … from most of the time, meeting up with the team for constructive meetings once a month/quarter in the Nottingham office. About you: You have advanced SQL and Databricks experience You have experience in cloud based environments, Azure preferred You have strong analysis and problem solving skills You have experience of working in Agile development environments You're collaborative More ❯

An exciting opportunity has arisen for an experienced Data Solution Architect to become part of the National Data and Analytics (NDA) Platform & Engineering Team.The NDA Platform & Engineering Team is working on providing data to drive the business forward. You'll More ❯

and APIs to streamline processes YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following skills and experience: Strong experience with SQL Proficiency in Python Experience with Databricks Bonus: knowledge of web scraping Strong problem-solving mindset and ability to work with commercial stakeholders THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to More ❯

our Data & Analytics team. This is a pivotal role where you'll lead the design and implementation of scalable, secure, and high-performing data solutions, primarily leveraging Azure and Databricks technologies. What will I be doing? Architect and deliver end-to-end data platform solutions using Azure and Databricks , aligned with our strategic frameworks. Own and develop technical solution architecture … engineering, governance, and agile delivery. Mentor BI Platform Architects and contribute to the growth of our technical community. What do I need? Extensive hands-on experience with Azure and Databricks, including data storage, security, networking, and cost optimisation. Strong understanding of engineering methodologies and data sharing capabilities. Experience designing secure, scalable cloud solutions for data-driven organisations. Familiarity with PowerBI More ❯

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day More ❯

a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role … it's a hands-on engineering opportunity where your Databricks expertise will be front and centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME … environments. Enhance monitoring and control frameworks to ensure platform reliability. Provide technical leadership and mentorship to a small team of Data Engineers. Essential Skills Extensive hands-on experience with Databricks - this is the core of the role. Strong background in Synapse and Azure DevOps. Proficiency in SQL and PySpark within a Databricks environment. Proven experience leading small engineering teams. Skilled More ❯