126 to 150 of 552 Databricks Jobs in England

for front office reporting. What you'll need to succeed Strong business intelligence/data engineering experience with strong Power BI expertise. Data engineering experience building production pipelines - with Databricks Business experience working around the Front Office/Risk is a must! Understanding of regulatory reporting processes. Financial product knowledge e.g. - equities, fixed income, derivatives. Experience on Azure cloud platforms. More ❯

market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package £100,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯

market, credit, and operational risk, compliance, and trade lifecycle Proven in delivering complex risk and compliance solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS risk platforms (e.g., CubeLogic, deltaconX) Package £100,000 Base Salary 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits More ❯

should have: A strong background in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

should have: A strong background in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

background in data analysis and management within the industrial or manufacturing industry. Good knowledge around any of the following modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

background in data analysis and management within the industrial or manufacturing industry. Good knowledge around any of the following modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data More ❯

managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed More ❯

including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including More ❯

full lifecycle delivery experience. Ability to lead architectural strategy and oversee implementation. Architectural Expertise Deep knowledge of event-driven architectures (Kafka, Confluent). Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools More ❯

both technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement More ❯

and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience, including escalation management and adherence to SLAs. Familiarity with CI/CD technologies and version control systems like More ❯

and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience, including escalation management and adherence to SLAs. Familiarity with CI/CD technologies and version control systems like More ❯

Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be successful in the role, you will need to have extensive experience in data science projects and have built More ❯

integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. · Experience working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI More ❯

be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics. Our company culture and people are at the heart of our business. We invest in our employees More ❯

data migration, and data cleansing methodologies. Moderate to advanced SQL skills, with experience writing complex queries. Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau). Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to thrive in a fast More ❯

between data points that lead to valuable insights. Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus. Data Literacy: Ability to prepare high-quality datasets that preserve the core meaning of the data, enabling quick understanding of its relevance and implications for the More ❯

record deploying ML systems in production at scale (batch and/or real-time) Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow, SageMaker, Vertex AI, Databricks) Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD) Ability to lead delivery in agile environmentsbalancing scope, prioritisation, and quality Excellent communication More ❯

in SQL with experience using relational databases (e.g. MySQL/SQL Server) and NoSQL databases (e.g. AWS DynamoDB). Familiarity with Snowflake or similar cloud Data Warehouse platforms (e.g. Databricks, Redshift, Big Query, etc.). Proficiency with Python scripting. You have experience building robust and reliable data models with excellent attention to detail, considerations for data quality, and a pragmatic More ❯

solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across front-end and back More ❯

Proven ability to interpret complex business requirements and translate them into scalable technical solutions Solid hands-on experience working with Python for data handling, transformation, or orchestration Familiarity with Databricks, preferably in an Azure environment Excellent communication and collaboration skills-you're approachable, professional, and confident engaging with both technical and non-technical stakeholders Strong self-management-able to juggle More ❯

need: Significant experience of working with complex data sets and using data analysis models Have a working knowledge of SQL data analysis , or willing to learn, (MS-SQL/Databricks - T-SQL, View and table design) Significant experience of using IT systems including Excel, Power BI and Python Strong technical analytical skills as a Data Analyst Managing and manipulating data More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases More ❯