151 to 175 of 411 Permanent Databricks Jobs

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

demo purposes as well as present to customers. Experience with SQL, databases and scripting languages like LUA. Experience with AI, BI and analytics technologies like Power BI, Tableau, Snowflake, Databricks etc. highly desirable. Fast learner with a desire/motivation to learn cutting-edge new technologies. A team player with the ability to relate to customers and maintain good working More ❯

the Unclassified side, Internal FBI Systems, etc.) HTML, Vue Framework, Javascript, Java and .NET Apache Solr .NET, C#, Javascript, Java, Perl , .NET, C#, Vue3, Typescript, Python, Jupyter Notebook, Scala, Databricks Experience in ElasticSearch, Vue.js, Java Spring Framework, and .NET Framework web services. Oracle, API Architecture (SOAP/REST), Git, REST APIs using technologies such as ASP.NET Core, Flask, Django, Express.js More ❯

team and an Insights team, recognising the importance of close collaboration of data teams to quickly and efficiently deliver business value. Our cloud-based technology stack builds on Azure Databricks to ensure data is reliably and easily available to the business and creates value. As we continue to grow, we are moving towards a group data platform and are looking More ❯

degree in Computer Science, Information Systems, Business, or related discipline. •Skilled at prioritization and multi-tasking • 7-10 years experience with these specific Languages/Technologies: • Spark • Python • SQL • Databricks • Cloud environment knowledge oS3 storage and migration oClusters • iQuery SQL Editor • API implementation Nice to have: • SharePoint development knowledge oLists and Libraries oREST APIs oPower Automate oMicrosoft 365 ecosystem • Jira More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯

unsupervised and supervised models. • Proven record of successfully delivering commercial machine learning products from conception to production. • Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Tecton, Snowflake, and cloud services like AWS for machine learning development and deployment. Preferred Qualifications: • Previously worked with revenue-management systems. • Experience in a variety of machine learning and AI More ❯

Experience in digital/web analytics, A/B testing and optimising digital products. Track record of driving business decisions and impact. Strong SQL skills; particularly in reference to Databricks with experience in using analytical and data tooling such as Python, Tableau, Git, dbt etc. Understanding of data engineering concepts and practices, with the ability to work with engineering to More ❯

to solve complex business problems, ideally in marketing, advertising or e-commerce Strong proficiency in Python (PyTorch, TensorFlow, scikit-learn), SQL and cloud ML orchestration environments such as AWS, Databricks or Flyte Experience with search marketing, ad auctions, bidding optimisation or customer segmentation is a plus Skilled in rapid prototyping, hypothesis testing and iteration toward production-ready solutions Experience applying More ❯

and effectively communicate solutions, taking ownership of the problem through to successful resolution Experience of working in a global environment managing stakeholders across the globe Nice to have skills Databricks and Python development experience beneficial Experience of micro-service development and API development Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others More ❯

tooling such as Data Catalogs, Data products and Data Quality Tools Solid understanding of Consulting data constructs and domains (e.g. structured and unstructured data), data technologies (e.g., Snowflake; BigQuery; Databricks) and core transactional systems (e.g., SharePoint) in relationship to Data as a service model The ideal candidate will have a goal-oriented mindset and enjoy working with cross-functional teams More ❯

/DL concepts, with experience taking models from prototype to production • Minimum of 3 years' experience building and deploying scalable, production-grade AI/ML pipelines in AWS and Databricks • Practical knowledge of tools such as MLflow, Delta Lake, and Apache Spark for pipeline development and model tracking • Experience architecting end-to-end ML solutions, including feature engineering, model training More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

hybrid to a fully cloud based environment. We're looking for an established DBA with a strong background in SQLServer but who wants to be part of the journey Databricks/Data Lake in an Azure environment. The Role: As the Lead DBA/Lead Database Administrator you'll be responsible for the line management of 1 member of the More ❯

of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using leading BI tools. What will make you stand out Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir). Familiarity with Python-based or low-code frameworks for building data-driven applications. Background in financial services or the ability to quickly understand industry-specific challenges. This More ❯

of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using leading BI tools. What will make you stand out Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir). Familiarity with Python-based or low-code frameworks for building data-driven applications. Background in financial services or the ability to quickly understand industry-specific challenges. This More ❯

and performance within the team. Partner with IT Operations, business stakeholders, and the wider Data & Innovation team. Skills & Experience Proven experience in data engineering and system development, especially with Databricks, Microsoft Azure, Power Platform, and M365. Familiarity with SaaS platforms like Workday and Monday.com is a plus. Strong leadership and mentoring capabilities in agile environments. Comfortable with both hands-on More ❯

meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams More ❯