1 to 25 of 103 Permanent Databricks Jobs in the South East

testing methodologies and development team collaboration Experience working with Power BI and DAX Strong documentation, communication, and stakeholder engagement skills Preferred Qualifications: Experience with Lakehouse architecture, Delta Lake, or Databricks Exposure to Agile/Scrum working practices Microsoft certifications (e.g., Azure Data Engineer Associate) Background in consulting or professional services Understanding of data governance and data security principles Nice to More ❯

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding 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 ❯

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 ❯

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 ❯

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 ❯

via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

within the insurance sector, ideally with London Market experience. Strong knowledge of insurance data models, including policy, claims, and risk-related structures. Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon). Proficiency in T-SQL for data transformation and summarisation, with Python skills for building data pipelines. Advanced Excel skills More ❯

through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and More ❯

small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯

problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product development frameworks Highly numerate with excellent analytical and problem-solving skills, including experience of analysing and accurately More ❯

Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and resilient architecture patterns. More ❯

data security (e.g. RLS); other reporting tools a bonus. Strong background in data analytics, modelling, and pipeline development, with hands-on proficiency in SQL, Python, and cloud platforms (Azure, Databricks, etc.). Demonstrated ability to work closely with stakeholders to translate business needs into actionable insights, user stories, and high-impact reporting solutions. Must thrive in Agile environments, with a More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯