1 to 25 of 26 Databricks Jobs in Birmingham

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

shopping platform Employee assistance programme Career progression with support Onsite parking and excellent transport links About You Expertise in SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python, Power BI Strong data science portfolio demonstrating machine learning and analytics skills Excellent communication skills for diverse audiences and translating business More ❯

projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark More ❯

DevOps, Git, ARM/Bicep, and building CI/CD pipelines Desirable experience: Integration to D365 and working knowledge of Microsoft Common Data Model Databricks, Snowflake Azure Functions, Service Bus, Event Grid Understanding of Kimball data-modelling techniques Microsoft Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine More ❯

supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills More ❯

experience and ability to collaborate with data engineers to polish solutions for customer-readiness SQL Azure, Synapse Analytics (dataflows, Jupyter notebooks, on-demand SQL), Databricks, ADF Power BI, DAX, data flows SSIS Appreciation of information security standards such as ISO27001, PCI-DSS or Cyber Essentials BPSS clearance will be required More ❯

architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

them to have a strong desire to learn and have a passion for QA and data. Further advantages include exposure to Azure tools like Databricks, Log Analytics workspaces, or PowerBI, and experience using programming languages like python. Any further experience related to data or data testing would be beneficial. Please More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

in Microsoft Excel, including advanced functions for sophisticated data manipulation and analysis. Hands-on experience in model development using tools such as VS Code, Databricks, SQL, Azure DevOps (ADO), and Git. Extensive experience of portfolio analysis and automated reporting (e.g. using Power BI). Deep understanding of the end-to More ❯

Consultant will have the following: Solid technical ability in Python , SQL & Azure (essential). Strong proficiency in Microsoft Azure and relevant tools/technologies ( Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse ). Proven understanding of DevOps best practices: CI/CD (Azure DevOps is preferred). Solid communication More ❯

centre or at client sites for extended periods when required. As an Azure Cloud Data Engineer, your responsibilities will include: Working predominantly with Azure Databricks to create data pipelines. Ensuring data quality and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems. Performing independently and More ❯

/ML, especially with generative AI at scale, LLMs like GPT and BERT, AI frameworks (TensorFlow, PyTorch), cloud-native solutions, and tools such as Databricks and Snowflake. Experience managing stakeholders in complex environments. Skills: Proficient in designing and optimizing generative AI models, prompt engineering, understanding ML algorithms, deploying in cloud More ❯

Able to extract meaningful insights from complex datasets and demonstrate clear business impact. Technical Expertise – Strong experience with SQL, Power BI, Python/PySpark; Databricks is a plus but not essential. Stakeholder Management – Confident in engaging with senior stakeholders, translating data into compelling narratives that drive business decisions. Commercial Mindset More ❯

AWS, Google etc) Pipelines Performance and optimisation Experience working with large data sets Power BI – DAX/Power Query and M Desirable Skills: Azure Databricks #J-18808-Ljbffr More ❯

ML enablement across group divisions What You’ll Bring Experience in data product management, ideally with a data engineering background Strong understanding of Azure, Databricks, and modern data architectures (Data Mesh, DaaP) Proven success in building data strategies and delivering enterprise-scale integration Excellent communication and stakeholder management skills Passion More ❯

regulated environment (e.g., financial services, government, healthcare). Skilled in both strategic planning and hands-on data modelling. Familiarity with modern data stacks (Snowflake, Databricks, dbt) and cloud platforms (AWS, Azure, GCP). Strong communicator with the ability to lead discussions, shape roadmaps, and influence outcomes. Comfortable working in ambiguous More ❯

Nice to haves...... Previous experience using Generalised Linear Regression Modelling Knowledge of Bayesian Statistics and Monte Carlo Simulation Experience with Azure: Azure Databases, Azure Databricks Proficient use of VBA's Apply for this job #J-18808-Ljbffr More ❯

Join Ofwat’s IT Team as a Data Engineer * OfficeLocation: Birmingham (B5 4UA) with hybrid working* About Us We are Ofwat, the Water Services Regulation Authority, a non-ministerial government department responsible for regulating the water sector in England and More ❯

deliver modern data platforms for large organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data … computing, and workflow automation. Expertise in Git/version control and DataOps principles. Strong experience with Azure tools, Power BI, or PowerShell. Key Skills : Databricks, Azure Data Factory, Python, SQL, Medallion Architecture, ETL, Git/version control, Azure Synapse, Power BI. #J-18808-Ljbffr More ❯

market dynamics. Perform scenario analysis to evaluate the impact of different pricing strategies and external factors on business performance. Pricing automation and deployment Using Databricks, Python & Power BI, look to automate time consuming pricing processes including but not limited to: web scraping, price indexing and elasticity analysis. Data visualisation and … competitive advantage. Key Skills A degree or equivalent in a science or quantitative subject Strong analytics expertise: We primarily operate within a Microsoft Azure, Databricks, SQL, Python, Pyspark & Powerbi data environment. So, these skills will be very important. Pricing experience is desired Experience of modelling, data management, information systems and More ❯

positioning, and emerging technologies, supporting the sales approach accordingly. Partner & Ecosystem Collaboration Work alongside partners, including cloud providers (Azure, AWS) and data platform vendors (Databricks, Snowflake, Oracle), to enhance solution offerings. Support engagement with Version 1’s delivery and engineering teams to ensure sales commitments align with execution capabilities. Identify … Technology Knowledge Understanding of data platforms, data engineering, AI/ML, analytics, and cloud ecosystems. Familiarity with technologies such as Azure Data Services, AWS, Databricks, Snowflake, Oracle, and Power BI. Ability to articulate the business impact of data-driven decision-making and AI solutions. Stakeholder Engagement & Communication Strong communication skills More ❯

to build, operate, maintain, and support cloud infrastructure and data services. Skills to automate and optimize data engineering pipelines. Experience with big data technologies (Databricks, Spark). Development of custom security applications, APIs, AI/ML models, and advanced analytics technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP … anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter More ❯

enable smarter audit and risk insights. You’ll design scalable ETL/ELT pipelines in Python (with PySpark) and orchestrate them using tools like Databricks and Snowflake. You’ll work with structured and unstructured data across the firm, integrating APIs, batch loads, and real-time streams. Your work will power … checks, and a strong focus on data governance, compliance, and cloud optimisation. Qualifications * 3+ years of Python-based data engineering experience * Proven experience with Databricks, Snowflake or equivalent big data platforms * Hands-on ETL/ELT experience across cloud services like AWS, Azure, or GCP * Strong grasp of data governance More ❯

Azure Data Engineer Location: Remote (Midlands) - £55-75k + benefits An experienced Azure Data Engineer is urgently required to take responsibility for helping to define and implement my client’s data strategy and for the design, build, and implementation More ❯