276 to 300 of 1,792 Permanent Databricks Jobs

problem solving, customer-focus, communication, collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills (primarily Excel, Word, PowerPoint, and More ❯

governance, security (e.g., Row-Level Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer analytics capabilities and promote self More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical skills Good communication skills, both verbal and written, with experience working closely with business users Experience in the hospitality industry is beneficial WHAT'S More ❯

Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development of More ❯

and junior colleagues, including line management and development of teams, where required. 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 ❯

this role. Experience developing data warehouses, Business Intelligence/Management Information or ML and AI solutions Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too) ‘Hands on’ experience of data engineering within an analytics environment. Expert knowledge of one or more data languages including SQL, Python and Spark. Experience of coaching and developing your More ❯

and have had exposure to the others. Current Microsoft certifications are useful but not mandatory – we'll help you get those! Core: SQL Server (T-SQL and DBA) Azure Databricks Azure Data Factory Microsoft Fabric Power BI, DAX Azure Data Lake Supporting: Azure ML Azure AI Services Azure Infrastructure Python, PySpark Microsoft Purview Principles: Relational and Dimensional Modelling Data Warehouse More ❯

to bring: A passion for designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands-on experience in all phases More ❯

of AI/ML concepts: 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; able to build confidence with More ❯

and junior colleagues, including line management and development of teams, where required. 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 ❯

of AI/ML concepts: 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; able to build confidence with More ❯

of AI/ML concepts: 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; able to build confidence with More ❯

TensorFlow or PyTorch libraries Experience with Large Language Models (LLMs) and Generative AI applications Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL Familiarity with platforms like Databricks and Snowflake for data engineering and analytics Experience working with Big Data technologies (e.g., Hadoop, Apache Spark) Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j) Research 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 ❯

Spark or comparable distributed data processing frameworks, preferably for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity 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 ❯

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by More ❯

About RSM Consulting brings together multiple teams across Transactions, Risk & Consulting, ABA, and Outsourcing to provide client-centric solutions for RSM's current and future clients within the middle market. Our Consulting team has a major role to play in More ❯

Data Engineering Manager - Commercial & Supply, Leeds Client: Location: Leeds, United Kingdom Job Category: Other - EU work permit required: Yes Job Reference: ae6f68ab6052 Job Views: 4 Posted: 25.06.2025 Expiry Date: 09.08.2025 Job Description: Job Title Data Engineering Manager - Commercial & Supply Job More ❯

Senior Data Engineer- Middlesbrough Contract type: Permanent Start date: TBC Salary: Competitive Salary + benefits We are the leading provider of infrastructure services. At Altrad, we transform our nation's critical infrastructure to operate safely and sustainably. With over 11 More ❯

ASAP 6 Months Contract - Renewable Key responsibilities: Monitor and optimize data processing performance, identifying, and resolving bottlenecks. Stay up to date with the latest advancements in data engineering and Databricks technologies. Experience with ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes Essential Skills: Exposure and handling DataIQ Design, develop, and optimize data workflows and notebooks using Databricks to More ❯

practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Databricks and proficient advanced experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), Python is required Advanced knowledge … a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues Experience with Databricks, Snowflake, Iceberg are required Preferred qualifications, capabilities, and skills Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable Understanding More ❯

automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power More ❯

automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power More ❯