on our vision which is to empower every colleague and client of BDO with data. You will be working as part of a multi-disciplinary team of data and analytics managers, data analysts and fellow data engineers to develop and manage data products that can empower our people to make decisions from data to drive growth activities and bring … to meet our data product and business requirements You'll be someone with: Experience and expertise in using SQL and Python and are comfortable using them everyday Experience in Azure technologies, particularly SQL DB, AzureSynapse, Data Factory, Azure Data Bricks and PowerBI Experience in processing data from flat files, databases, APIs, data streams and using More ❯
ownership of the end-to-end management of Pret’s SQL databases and cloud-based Snowflake platform, enabling the business to efficiently store, manage, and access critical data for analytics, reporting, and operations. Reporting to the Lead Data Engineer, you will collaborate closely with the Data Engineering team and business stakeholders to optimise database performance, troubleshoot issues, and ensure … of Pret’s MSSQL Server and Snowflake environments, ensuring high performance, reliability, and scalability. Design, implement, and optimise database architectures and data storage solutions to support data pipelines and analytics requirements. Monitor, troubleshoot, and resolve database performance issues, including query optimisation, indexing, and resource management. Collaborate with the Lead Data Engineer and Data Engineering team to build and maintain … Support the delivery of CI/CD pipelines, enabling automation and seamless deployments across SQL and Snowflake environments. Provide expertise in query optimisation and data modelling to support reporting, analytics, and application performance. Collaborate with stakeholders across Operations, Finance, HR, and IT to ensure database solutions align with business requirements and objectives. Stay up to date with emerging tools More ❯
London, England, United Kingdom Hybrid / WFH Options
Aldermore Bank plc
services for use across all our business use cases. In this specialist role you'll work closely with both data delivery and data science teams to enable AWS and Azure environments as required by the various programmes. You'll support with the setup, maintenance and enhancement of data lab environments and the enablement of new tooling for data science … of data science and other cloud native functionality through dev to production environments What will your day look like? • Design and Deliver cloud based platforms on both AWS and Azure • Own and drive the enablement of data lab environment(s) for use in data science, enabling new tooling as required by the team • Management and promotion of data science … databases, ETL tooling, storage etc) • Collaborate with business and technical teams to agree services required and enable them with clear communications of status, and usage • Continuously explore new data analytics techniques and tools to improve efficiency and analytical capability within the team. What do we expect from you? • ML ops experience essential • Proficiency in SQL, and Python or similar More ❯
s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures. Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. Designs and implements processes for the ETL process from various sources into the organization’s data systems. Translates high-level business requirements into data … project architectural artifacts across the EA group through governance forums. Defines and manages standards, guidelines, and processes to ensure data quality. Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions. Evaluates and recommends emerging technologies for data management, storage, and analytics. Skills and qualifications: At least five years of relevant … experience in design and implementation of data models for enterprise data initiatives Experience leading projects involving data modeling, data design, and data analysis. Design experience in Azure Fabric, Synapse, and Power BI/Tableau Design experience in Informatica Customer 360 and Product 360 and Reference Data Management Strong ability in programming languages Ability in data science languages/ More ❯
s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures. Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. Designs and implements processes for the ETL process from various sources into the organization’s data systems. Translates high-level business requirements into data … project architectural artifacts across the EA group through governance forums. Defines and manages standards, guidelines, and processes to ensure data quality. Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions. Evaluates and recommends emerging technologies for data management, storage, and analytics. Skills and qualifications: At least five years of relevant … experience in design and implementation of data models for enterprise data initiatives Experience leading projects involving data modeling, data design and data analysis. Design experience in Azure Fabric, Synapse, and Power BI/Tableau Design experience in Informatica Customer 360 and Product 360 and Reference Data Management Strong ability in programming languages Ability in data science languages/ More ❯
in growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, AzureSynapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance, security, and regulatory compliance. More ❯
Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯
Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯
Responsibilities : 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam … or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical discussions across industry … communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills More ❯
low-carbon energy in the UK. As our Data Engineering Lead, you'll be responsible for designing and leading the development of a secure, scalable data platform on Microsoft Azure , helping turn complex construction data into actionable insight. You'll manage the full data lifecycle - from ingestion and transformation to warehousing and modelling - all while ensuring data quality, integrity … for live environments To succeed in this role, you'll bring a blend of strong technical expertise and people leadership. We're looking for someone with experience in: Microsoft Azure Data services (Data Factory, Databricks, Azure SQL, Synapse) SQL, NoSQL, and API-based data pipelines Agile methodologies such as SCRUM or Kanban Leading engineering teams in complex More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
lead transformative data projects and architect solutions that drive business impact. Responsibilities: Partner with clients to understand data challenges and craft solutions using Microsoft Fabric. Design data architectures integrating AzureSynapse, Data Factory, Databricks, and Power BI. Manage end-to-end solution delivery, ensuring performance and scalability. Develop data models and pipelines for real-time insights. Optimize systems More ❯
Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, AzureSynapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub More ❯
This fantastic institution located in SW London is seeking a dynamic and versatile Data Engineer/Analytics Engineer to contribute to the development, enhancement, and management of their data systems, pipelines, and reporting infrastructure. This role will focus on designing and maintaining efficient data pipelines while building a scalable data warehouse architecture. A major aspect of this position will … involve integrating new data sources to create a unified Single Customer View. Additionally, collaboration with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes. The ideal candidate will: Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse … multiple data sources, automating the transition from UAT to Production. Maintain and evolve the Single Customer View to consolidate data from various sources. Demonstrate hands-on experience with Microsoft Azure technologies (including SynapseAnalytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices. Contract Details: Initially a Fixed Term Contract, likely transitioning to More ❯
Job Description Azure Data Architect 6 Months (options to extend) - Inside IR35 Luton/Bedfordshire 2-3 days onsite per week Must be eligible for SC Clearance We are looking for an experienced Azure Data Architect to join a dynamic programme within the hospitality and retail domain. This is an exciting opportunity to work on large-scale data … transformation initiatives, leveraging cutting-edge cloud technologies and modern data platform architectures. This role will play a key part in shaping and delivering data architecture solutions on Azure, with a focus on implementing lake house design using tools like Databricks. You’ll be working closely with enterprise architecture teams, contributing to governance and driving decisions that will influence business … based on functional and non-functional requirements Prepare architecture decision documents and present for governance approvals Design and implement data lakehouse solutions Model data for end-user reporting and analytics Ensure successful deployment of Azure data services Provide architectural oversight and guidance to technical teams Work within an agile delivery model, adapting to changes as needed Support knowledge More ❯
London, England, United Kingdom Hybrid / WFH Options
Discovered MENA
remote (working UAE hours) Salary: 5k GBP per month Are you a data expert with a passion for building scalable, cloud-first data pipelines? We’re hiring an experienced Azure Data Engineer to join a fast-growing team focused on developing a centralised, enterprise-grade data warehouse in the Azure cloud. This is a full-time remote role … a data-driven organization - this could be the perfect opportunity for you. What You’ll Be Doing: Designing, building, and optimizing data models for a modern data warehouse on Azure Creating and maintaining secure, scalable data pipelines and ingestion workflows Leveraging AzureSynapseAnalytics and ADF to deliver robust ELT solutions Ensuring pipeline execution, availability, and … issue resolution across the data stack What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of data warehouse architecture and best practices= Familiarity with Salesforce (SFDC Sales Cloud), Google More ❯
Azure Data Engineer Manchester Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. The Azure … in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained, and managed The Azure Data Engineer will have the following: Experienceworkingin an Agile environment Advanced SQL coding skills Azure Data Lake (Gen 1 and 2) Azure Analysis Services Azure SQL … Data Warehouse (SynapseAnalytics) Azure Data Factory Experience working with large JSON documents Strong data modelling skills Experience in working with large data sets in an enterprise environment Benefits This is a fantastic opportunity for an Azure Data Engineer to join an award-winning company, where you will work in an innovative and dynamic environment and More ❯
Azure Data Engineer – Manchester– Up to £65k On behalf of our industry-leading client, we are recruiting for a talented Azure Data Engineer. As Azure Data Engineer, you will be working closely with Data Engineering, Business Services, and Technical Partners to create and integrate Azure Data Engineering pipelines transforming core systems data into knowledge. The Azure … in real-time to the quote rating engine Generate and schedule data enrichment processes Develop effective, scalable solutions that can be efficiently tested, deployed, updated, maintained, and managed The Azure Data Engineer will have the following: Experienceworkingin an Agile environment Advanced SQL coding skills Azure Data Lake (Gen 1 and 2) Azure Analysis Services Azure SQL … Data Warehouse (SynapseAnalytics) Azure Data Factory Experience working with large JSON documents Strong data modelling skills Experience in working with large data sets in an enterprise environment Benefits This is a fantastic opportunity for an Azure Data Engineer to join an award-winning company, where you will work in an innovative and dynamic environment and More ❯
and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … AzureSynapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, AzureSynapseAnalytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯
and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … AzureSynapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, AzureSynapseAnalytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯
and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … AzureSynapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, AzureSynapseAnalytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯
London, England, United Kingdom Hybrid / WFH Options
NCCR RNA & Disease
join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex business questions using advanced data and analytics techniques. You’ll be technically proficient in the end-to-end AI and machine learning model development lifecycle, with experience of prompt engineering, and a keen interest in keeping … business value in collaboration with teams such as Data Engineering, Machine Learning Operations (MLOps), Architecture, and Software Development. You’ll also proactively identify opportunities, providing the level of advanced analytics support needed for the problem and will provide technical thought leadership regarding the ethical, sustainable and scalable use of AI and machine learning solutions. Could you fit the bill … Core skills we’re looking for to succeed in the role: Innovative Experiment Design: You’ll turn complex business questions into innovative, well-designed experiments that prove value. Advanced Analytics Implementation: You’ll identify opportunities for advanced analytics such as Machine Learning, AI, Generative AI, and Data Science, and implement them within an Agile framework. Technical Proficiency: You More ❯
City of London, England, United Kingdom Hybrid / WFH Options
Jefferson Frank
Data Analytics Developer Location: London (Hybrid) Type: Permanent | Full-Time My client is seeking a talented and driven Data Analytics Developer to join our fast-paced and evolving data team. This is a reporting-first technical role, ideal for someone with a passion for building insightful dashboards, collaborating with senior stakeholders, and working at the forefront of cloud … to support accurate and scalable reporting * Assist in managing the Power BI environment, including DAX development and workspace administration * Contribute to ETL processes and data transformation workflows within the Azure Data Platform * Support the future transition to Google Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies Essential Experience: * Strong expertise in Power BI dashboard …/report development and DAX * Solid experience in SQL/T-SQL for data extraction and transformation * Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.) * Data modelling experience (star/snowflake schemas, normalization, etc.) * Familiarity with ETL processes and working alongside Data Engineers * Excellent communication and stakeholder management skills * Insurance industry experience (ideally Reinsurance More ❯
company and is dedicated to harnessing data-driven insights to propel innovation and drive business growth. We are seeking a talented and experienced Data Engineer specialising in data using AzureSynapse to join our dynamic team. This role offers an exciting opportunity to use our fast amount of data to provide insightful information into the care providers we … better life for everyone. We continue to revolutionise the care sector and our incredible employees are what make this possible. About the Job As a Data Engineer specialising in AzureSynapse Data Pipelining, you will play a pivotal role in designing, developing, and maintaining data movement pipelines using AzureSynapse to facilitate the smooth transfer of … ensure the timely and accurate movement of data to support various business operations and analytical initiatives. The role and your responsibilities Design, develop, and implement data movement pipelines leveraging AzureSynapse to transfer data efficiently and securely between internal systems. Collaborate with stakeholders to understand data model requirements and translate them into technical solutions. Design and develop robust More ❯
A prestigious organization based in London is seeking a dynamic and versatile Data Engineer/Analytics Engineer to contribute to the development, enhancement, and management of their data systems, pipelines, and reporting infrastructure. This role will focus on designing and maintaining efficient data pipelines while building a scalable data warehouse architecture. A major aspect of this position will involve … integrating new data sources to create a unified Single Customer View. Additionally, collaboration with the Analytics and Insights teams is essential to ensure they have seamless access to the necessary data, as well as assisting in optimizing SQL reporting processes. The ideal candidate will: Possess a strong curiosity and passion for exploring, transforming, and integrating data from diverse sources. … multiple data sources, automating the transition from UAT to Production. Maintain and evolve the Single Customer View to consolidate data from various sources. Demonstrate hands-on experience with Microsoft Azure technologies (including SynapseAnalytics, Datalake, Azure SQL), as well as familiarity with DevOps and GitHub practices. This role could accommodate 1 visit a month/fully More ❯
