1 to 25 of 44 Permanent Databricks Jobs in the South West

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. Strong technical proficiency in data modeling, SQL, NoSQL databases, and data warehousing. Hands-on experience with data pipeline development, ETL More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

or similar environment is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: Youll guide and mentor the team while delivering impactful AI, Data More ❯

Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS, SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work in hybrid data environments Experience in finance or working with More ❯

years experience; or equivalent experience. Proven ability to design flexible, maintainable ETL systems. Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark. Understanding of the ML model lifecycle; prior work with scientific or ML workflows is a plus. Hands-on experience with multi-terabyte scale More ❯

R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their best during the interview. You'll have More ❯

month contract (both option available) Summary of any essential experience required for the role Strong Python programming knowledge, ideally Pyspark Knowledge of the Azure Databricks platform and associated functionalities Adaptable, with a willingness to work flexibly as the needs of the organisation evolve. Working well within a team, and able More ❯

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To More ❯

strong desire to learn and share knowledge Ideally, you'll also have Certification for at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including More ❯

expert working with databases and database architecture, SQL and Stored Procedures · Proven experience with Data integration technologies such as Azure Data Factory, Apache airflow, Databricks AutoLoader · Ability to build CI/CD pipelines and infrastructure as code · Experience with event driven data flows and message aggregators (Event Hub, Apache Kafka More ❯

Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions More ❯

Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions More ❯

and pushing back when needed The ability to take the company on the journey of chasing the big wins Excellent SQL skills (Power BI & Databricks a plus) Self-starter comfortable with autonomy and leading without hand-holding Comfortable working in fast-paced, evolving environments Worked with data directly in your More ❯

and pushing back when needed The ability to take the company on the journey of chasing the big wins Excellent SQL skills (Power BI & Databricks a plus) Self-starter comfortable with autonomy and leading without hand-holding Comfortable working in fast-paced, evolving environments Worked with data directly in your More ❯

publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client management More ❯

and pushing back when needed The ability to take the company on the journey of chasing the big wins Excellent SQL skills (Power BI & Databricks a plus) Self-starter comfortable with autonomy and leading without hand-holding Comfortable working in fast-paced, evolving environments Worked with data directly in your More ❯

to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯

to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯

to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯

Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. More ❯

Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. More ❯