16 of 16 Permanent Databricks Jobs in the Midlands

analytics solutions Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding ...

analytical solutions Hands-on experience with SQL, Excel, and data analysis techniques Experience working with cloud-based data platforms such as Microsoft Azure, Databricks, and modern data warehouses Strong understanding of data warehousing, ETL/ELT processes, and data governance frameworks Experience building insightful dashboards and reports to support decision ...

ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security ...

Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/ ...

pipeline, review proposed changes, champion continuous improvement and help shape the future of reporting at Specsavers. Technical knowledge in areas like Power BI, SQL, Databricks or PHP is helpful, but it doesn't need to be expert-level. What matters most is your ability to lead people, navigate complexity, make ...

implementing Data Quality, metadata, and data lineage frameworks Experience defining and delivering operating models and governance structures Familiarity with modern data platforms (e.g. Azure, Databricks) Background within financial services or other regulated industries (preferred) Strong stakeholder management skills, with the ability to influence at senior levels Proven ability to drive ...

Azure Platform engineering background and come with 3 years demonstrable hands on Azure DevOps engineering experience, specifically App Service, API Management, Azure SQL Database, Databricks, Storage Accounts and ServiceBus. As well as strong knowledge of Infrastructure as Code using TerraForm and Scripting. Working closely with the key stakeholders, you will ...

senior engineering leadership role (Head of Engineering, Head of Data, or similar) Strong Data Engineering background with exposure to SQL Server, Azure or Databricks Experience leading multi-team engineering organisations Strong delivery focus within regulated or complex environments Ability to operate as a senior leader rather than a hands ...

delivery aligns with business and programme objectives Play a key role in shaping the future structure of the engineering function Tech Environment Microsoft Azure Databricks .NET SQL Server Key Requirements Proven experience in senior Data Engineering leadership (essential) Experience operating at Head of Engineering level or similar Background managing multiple ...

teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. ...

data modelling, SQL, and analytics engineering principles. You’ll act as a key builder of analytical datasets, working within a modern data stack (including Databricks) to deliver clean, reliable data for reporting and insight generation. Alongside this, you’ll support finance teams by analysing trends, identifying opportunities, and helping stakeholders … make better decisions Key Responsibilities: Design and develop robust data models using Databricks (Medallion Architecture) Write and optimise complex SQL queries for data extraction, transformation, and validation Build and maintain Power BI dashboards to support finance reporting Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling Translate ...

impact opportunity to shape the future of a modern data platform at scale. You will take ownership of architecture, performance, and governance across a Databricks Lakehouse environment, directly influencing how business decisions are made. THE COMPANY They are a global, data-driven organisation operating at the intersection of technology … deliver a scalable and high-performing architecture. Specifically, you can expect to be involved in the following: Design and implement a governed Databricks Lakehouse, including catalog and data structures. Migrate complex legacy SQL into clean, modular, and maintainable pipelines. Build scalable transformation frameworks using Spark and Python or SQL-based ...

building reliable, clean, production-quality systems and are excited to apply those skills in the data space. You don’t need to already know Databricks or Spark - if you have a strong engineering mindset and a curiosity to learn, we’ll support you every step of the way. At BCIS …/CD pipelines, automated testing and code reviews Improve system reliability, performance and maintainability through thoughtful design Learn and adopt new technologies, such as Databricks and Spark, as part of BCIS’s evolving data platform Why this role is great Opportunity to transition into the high-growth data/ ...

business. THE ROLE: You will take ownership of the architecture and implementation of the BI and data foundations, working hands-on to evolve their Databricks Lakehouse and analytics stack. This is a senior, autonomous role where you'll be expected to proactively identify problems, propose solutions, and deliver with minimal … hand-holding. Key responsibilities include: Designing and implementing the Databricks Lakehouse architecture, including governed data models and structures Leading the implementation of dbt and shaping best-practice transformation workflows Building and owning the semantic layer to enable scalable, self-service analytics Developing and optimising Python/SQL Spark pipelines ...

focus areas are as follows: - Decommissioning of Phocas and transition to Azure and M365, including Power BI Review, assessment and implementation of Databricks to replace Synapse and Informatica pipelines and notebooks Carbon reporting tool for customer use Discovery and shaping of additional data initiatives (may include automated quotations, dynamic pricing … Assess current reporting landscape Support definition of future-state reporting approach (e.g. Power BI, SQL Server) Contribute to evaluation of data platform capabilities (e.g. Databricks), including, where necessary, vendor selection criteria Process & Solution Shaping Support definition of future-state data flows Identify opportunities for simplification, standardisation, and automation Work with ...

discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks notebooks Define features, model structures, and scoring outputs for data products Translate analytical outputs into clear, actionable insights and presentations for clients Contribute … repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack Python & SQL (essential) Databricks (core analytics environment) Azure-based data platform (with flexibility depending on client environments) What you bring Must-haves 3+ years experience in data science Strong ...