1 to 25 of 57 Databricks Jobs in the City of London

relevant insights. * Experience working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis. * Familiarity with Azure Databricks, Synapse, or distributed computing tools. * Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

You will be adaptable and able to work with different tools and technologies, depending on the client and project needs but will ideally possess stength in: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift 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 ❯

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 ❯

Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

for performance and scalability Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week More ❯

for performance and scalability Contribute to the overall data strategy and architecture 🔹 Tech Stack You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week More ❯

of technology fundamentals and experience with languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A More ❯

of technology fundamentals and experience with languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A More ❯

Data Engineer: Proven experience leading data engineering teams on large-scale projects Proficient in Java, Scala, or Python with strong SQL expertise Hands-on experience with platforms like Azure Databricks, Informatica, or equivalent Strong understanding of distributed data frameworks and modern architecture Excellent communicator with a passion for AI and emerging technologies Want to hear more? Message me anytime. Linked More ❯

of relational databases - Microsoft SQL Server and PostgreSQL databases/queries. Knowledge of AWS skills, navigating through data analytics services/databases, and experience with data platforms such as Databricks/Azure Datahub and similar ones. Data visualization and reporting tools using PowerBI, Microsoft Office 365 skills on Excel integration and Sharepoint. Experience with large-scale enterprise-wide IT environments More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

as it grows in scale and complexity Act as a key business-facing leader, engaging stakeholders across functions SKILLS AND EXPERIENCE Strong SQL , Power BI , Azure experience Knowledge of Databricks (essential) Business Objects (desirable) Experience managing SLAs, suppliers, and FinOps processes Proven leadership and people management skills Stakeholder management and business engagement experience Background in enterprise - level data environments (5+ More ❯

Ensure solutions meet governance, compliance, and security standards. Skills & Experience: Proven experience as a Data Solution Architect or similar senior-level data architecture role. Strong knowledge of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ELT, SQL/ More ❯

scale data transformation programme. This is a 6-month, fully remote contract with immediate start. Key skills: Strong hands-on experience with Azure Data Factory SQL, Synapse, Data Lake, Databricks ETL/ELT design & optimisation Experience with developing new ADF pipelines Experience maintaining existing ADF pipelines The details: Fully remote Outside IR35 Rate negotiable If you’re interested, please attach More ❯

Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analytics tools such as Databricks and PowerBI Experience with AI and automation Strong stakeholder management and communications skills Strategic mindset with the ability to translate complex data into clear, actionable business insights Please note that More ❯

Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analytics tools such as Databricks and PowerBI Experience with AI and automation Strong stakeholder management and communications skills Strategic mindset with the ability to translate complex data into clear, actionable business insights Please note that More ❯

scale, cloud-native solutions/Proven experience designing and leading modern cloud and software architectures. Hands-on experience with AI/ML tools and platforms (e.g., TensorFlow, PyTorch, MLflow, Databricks, Azure/AWS/GCP). Good experience in designing and building scalable AI solutions and platforms. Deep understanding of cloud computing across various platforms. Proven track record in designing More ❯

drug development and patient care. Key Responsibilities Develop and validate complex analysis datasets from large and diverse data sources Perform statistical analyses and create reports for observational studies using Databricks and SAS Interpret and implement analysis plans in close collaboration with epidemiologists Ensure programming accuracy and compliance by reviewing peer code and outputs Identify and resolve data issues, ensuring robust More ❯

Lead AWS Data Engineer/Architect - Databricks - London I'm working with a globally renowned financial services client that are looking for a seasons Data professional. My client are seen as leaders and pioneers within their relative field but also, a very well known house hold name. They have operations in near enough every country and despite having such a … to make an impact, get in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

. Understanding of flight operations, ground handling, network planning, revenue management, or MRO. Data & Technology Knowledge (~10% focus) Familiarity with Data Mesh principles and decentralised data governance. Experience with Databricks for data pipelines, analytics, and ML environments. Knowledge of data as a product (APIs, analytics platforms, data solutions). Business Engagement (~40% focus) Confidence working with C-suite executives, functional More ❯

. Understanding of flight operations, ground handling, network planning, revenue management, or MRO. Data & Technology Knowledge (~10% focus) Familiarity with Data Mesh principles and decentralised data governance. Experience with Databricks for data pipelines, analytics, and ML environments. Knowledge of data as a product (APIs, analytics platforms, data solutions). Business Engagement (~40% focus) Confidence working with C-suite executives, functional More ❯