26 to 50 of 473 Databricks Jobs

collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in data governance and automation, even better. In More ❯

real-world applications. We're looking for someone with a good foundation in Data Engineering, ideally with exposure to cloud platforms like AWS, Azure, or GCP, and tools like Databricks or Snowflake. If you've worked in Agile teams, used BI tools like Power BI or Tableau, or have a keen interest in data governance and automation, even better. In More ❯

equivalent regulated environments). Proven track record designing and deploying data platforms end-to-end (architecture through production). Hands-on expertise with: o Azure Synapse Analytics, Data Factory, Databricks, Event Hubs, Data Lake Storage (Gen2). o Database technologies (SQL Server, PostgreSQL, Cosmos DB). o Programming languages (Python, PySpark, SQL). Strong experience in data security, access management More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven by delivering quality work, with a More ❯

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as More ❯

with some of the following tools & platforms (or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, EventBridge, EKS, VPC, Step Functions, ECS/EKS, DynamoDB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault/AWS Secrets Manager, Docker/OpenShift/Open Cloud Foundry, MongoDB More ❯

to the front of the line Data Engineer (Top Secret cleared) Washington, D.C MUST: Active Top Secret clearance is required Experienced Data Engineer with Palantir products, AWS, MS Google, Databricks IBM 7+ years of experience bringing databases, data integration, and data analytics/ML technologies to production Mastery in developing software code in one or more programming languages (Python, JavaScript More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

solution strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc More ❯

Epic Cognitive Computing and Epic certifications. Data modeling experience. Experience with big data technologies (e.g., Hadoop, Spark) preferred. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, and Databricks). Experience with Linux and familiar with concepts of HDA, slate, and docker. Level II Data Scientist is highly skilled across multiple Data Science disciplines. Is able to independently own More ❯

effect change to achieve common goals. Proficiency in the design and implementation of modern data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data More ❯

challenges. Culture builder, driving continuous improvement and operational excellence. Deep expertise in data compliance frameworks, cost management, and platform optimisation. Strong hands-on experience with modern cloud data warehouses (Databricks, Snowflake, AWS), SQL, Spark, Airflow, Terraform. Advanced Python skills with orchestration tooling; solid experience in CI/CD (Git, Jenkins). Proven track record in data modelling, batch/real More ❯

Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme More ❯

EC2, RDS, Redshift). Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS. Strong understanding of database systems and data processing frameworks (e.g., SQL, NoSQL, Spark, Databricks). Good understanding and experience of Gen AI concepts like Agentic Frameworks, RAG, LLM, Chunking, and Hyper-parameters. Excellent problem-solving skills and ability to work in a fast-paced More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

data warehouse (preferably Snowflake) Exhibited hands-on experience in building data pipelines and reusable components using AWS Services and PySpark, and Snowflake within the last two years Exposure to Databricks Unity Catalog and UniForm is a plus The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to More ❯

data warehouse (preferably Snowflake) Exhibited hands-on experience in building data pipelines and reusable components using AWS Services and PySpark, and Snowflake within the last two years Exposure to Databricks Unity Catalog and UniForm is a plus The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to More ❯

Senior Databricks Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate within … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

Senior Databricks Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Engineer to join our team. You will join us on a full time, permanent basis and in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Engineer, you will operate … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with More ❯

Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world's toughest problems. We are looking for a Business Development Representative (BDR) to represent Databricks to prospective customers in the UK and Ireland! This role is perfect for a sales professional early on in their career, looking to help scale … hybrid in our London office. The impact you will have: Rapidly develop your skill-set around value-based selling, big data and AI Provide a great customer experience for Databricks' prospective customers Conduct account and prospect research to inform and develop compelling outreach campaigns to increase engagement in a large variety of accounts Maintain active inbound and outbound communications with … with the wider sales team to develop territory strategy, build a pipeline, and increase adoption Uncover and identify client needs and progress conversations into sales opportunities by communicating how Databricks will meet them effectively What we look for: Minimum 2+ years of work experience Prior successful sales experience is preferred, but not necessary Determination to succeed, learn and build the More ❯