20 of 20 Databricks Jobs in Leeds

learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all you need to do is More ❯

Impactful Projects : Design, manage, and deliver end-to-end data science and analytics projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner … corporate initiatives. What You'll Need Essential Skills & Experience: Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts … visible, high-level impact Join a forward-thinking data team using modern tools in a cloud-native environment Flexible hybrid working with a supportive, inclusive culture Tools & tech: Azure, Databricks, Power BI, Python - continuously evolving Attractive benefits package: Competitive salary 7% Stakeholder Pension Plan 15% Asda Colleague Discount Free parking at Asda House, Leeds Clear opportunities for career growth and More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company More ❯

mentor others effectively in a senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python, T-SQL, and PySpark, with More ❯

abreast of opportunities for innovation with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product/solution development lifecycles using More ❯

they work with Spark, to deliver critical data science and analytical capabilities in big data platforms. High proficiency in analysing big data with cloud services (e.g. Microsoft Azure Services, Databricks). Expertise in product ownership to develop high quality analytical products and big data platform capabilities. Experience of software development best practices, including unit testing and CI/CD processes. More ❯

the drive, aptitude, and passion, we'll help you get there. What's the Opportunity? We're recruiting for entry-level roles in: Junior Data Engineering - work with Azure, Databricks, Python, and Power BI Junior DevOps Engineering - get hands-on with CI/CD, cloud platforms, automation tools, and modern engineering practices How It Works: Apply online - we'll ask More ❯

a numerate subject such as Analysis, Data Science, or Maths with specific analytical qualifications is essential Previous experience as a Data Analyst or similar role is preferred Experience in Databricks would be highly desired but is not required The right candidate will likely only have some of the following technical skills & experience (listed is our current software solution): ExData visualisation … tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our people do too. That's why we More ❯

Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management More ❯

Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem including Azure Data Factory (ADF), Synapse and PySpark/Databricks and Snowflake. You will be a data ingestion and ETL Pipeline guru, tackling complex problems at source in order to retrieve the data and ensure to can flow upstream to More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯

lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions. Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and … understanding of data architectures, data integration, and data analytics. Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics. Experience with SAP systems and SAP HANA is a plus. Excellent project management skills, with proficiency in project management tools (e.g., MS Project More ❯

as a data analyst/strategy analyst/market analyst/commercial analyst; Academicians are welcome to apply Proficiency in SQL and Excel; Experience with data tools such as Databricks, Tableau, Power BI, or similar Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Problem-solving skills More ❯

Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT More ❯

logistics company and a looking for a Data Engineering Product owner to join their Data Engineering Team! You'll need: - 8 years of experience in Data Engineering - Expertise in Databricks , Spark and Python - Strong SQL skills - Hands on experience dwith AWS - Familiarity with test-driven development , CI/CD , and delivery principles . What you'll be doing: - Domain Expertise More ❯

to expand your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Proven knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies Sound like the role you have been looking More ❯

to combine technical leadership with hands-on development, working with cutting-edge technologies to shape the future of logistics. What You'll Do: Lead the technical direction of our Databricks Common Data Platform Drive hands-on development with high-quality Python and SQL code Mentor and coach a distributed team of data engineers Champion CI/CD and automated testing … Work closely with the Head of Data Engineering to align with strategic goals Must-Have Experience: 8+ years in data engineering, including leadership experience Expert-level knowledge of the Databricks platform Advanced Python development for logistics and delivery optimisation Mastery of SQL for large-scale, nationwide operations Strong understanding of data modelling for parcel tracking systems Experience with both streaming More ❯

Job Title: Databricks Platform Lead (3-month contract with expected extensions) Location: Remote (with initial on-site internal stakeholder engagement in Leeds) Start Date: ASAP Role Overview: TEKsystems are working with a UK leader in logistics to recruit a highly experienced Databricks Platform Lead to join their data transformation team on a contract basis. This role is critical to the … technical execution of this migration, ensuring the new platform is robust, efficient, and aligned with business needs. Key Responsibilities: • Lead the end-to-end migration from SAP HANA to Databricks, ensuring platform functionality is replicated and enhanced. • Design and implement scalable, efficient solutions based on a deep understanding of Databricks architecture. • Collaborate with internal teams and external consultancies to align … on architecture, timelines, and deliverables. • Engage with stakeholders to understand business processes and translate them into scalable data solutions. • Identify and mitigate risks throughout the migration process. • Optimize the Databricks platform for performance, scalability, and cost-effectiveness. • Eliminate redundancies and streamline data workflows. • Provide technical leadership and hands-on support across the project lifecycle. • Attend initial on-site meetings to More ❯

modelling to solve problems around store planning, network optimisation, and targeted customer engagement Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour Advanced Geospatial Analytics Apply tools like Databricks, ArcGIS, SQL, and Python to build models, test hypotheses, and scale geospatial insight Integrate datasets like HST (High Street Trading), customer segmentation, and footfall into spatial analysis workflows Conduct segmentation … delivery optimisation, or customer segmentation Confident communicator with the ability to translate data into strategic impact Desirable: Experience in retail, logistics, transportation, or infrastructure industries Familiarity with working in Databricks or similar cloud environments Understanding of demographic and economic datasets relevant to location modelling Experience in line management or mentoring Benefits: £65,000 base salary £5,700 car allowance 13.5 … tooling How to Apply Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page. Keywords Geospatial Analytics, Location Planning, Spatial Insight, GIS, ArcGIS, Databricks, Python, SQL, Retail Strategy, Network Optimisation, Data Science, Hybrid Working, Leeds More ❯

The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production. Key Responsibilities: Own and develop deployment frameworks for … cross-functional teams to ensure smooth productionisation of models. Write clean, production-ready Python code. Apply software engineering best practices, CI/CD, TDD. Required Skills: Proficiency in Python, Databricks, and Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background More ❯