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First Call Contract Services are one of the largest providers of temporary recruitment solutions in the U.We have an exciting opportunity work in one of our client factory in NW10.This role offers a salary starting with £13.A Food Production factory (ready meals ) looking for Preparation department

Contract Snr .NET Engineer - FinTech - OUTSIDE IR35 - 625/day Were partnering with a leading FinTech company based in London to find an exceptional contractor who thrives in backend development. As a Senior .NET Engineer, youll design, develop, and optimise backend solutions for complex financial applications. You'll work in a collaborative environment, ensuring the delivery of scalable and secure solutions for critical FinTech projects. This is a backend-focused role, but familiarity with front-end tools like Angular is a nice-to-have. Key Responsibilities: • Develop and maintain backend applications using C#, .NET, and Azure., • Leverage Microsoft SQL Server services (database, integration services, reporting services) and write complex T-SQL stored procedures., • Implement design patterns such as Factory, Adapter, and Chain of Responsibility to ensure clean and maintainable code., • Utilise Object Relational Mappers (ORMs) like Entity Framework for efficient database interaction., • Work with Test Driven Development (TDD) practices to ensure high-quality code., • Collaborate with cross-functional teams to create scalable and secure solutions., • Optimize database performance with database tuning (bonus)., • Participate in a hybrid working setup, spending 2 days per week in the office Essential Skills: • Proven experience in backend development using C# and .NET frameworks., • Strong expertise in Azure cloud technologies., • Hands-on experience with Microsoft SQL Server services (database, integration services, reporting services)., • Advanced knowledge of T-SQL, including stored procedures., • Familiarity with design patterns (e.g., Factory, Adapter, Chain of Responsibility)., • Experience with Object Relational Mappers (ORMs) like Entity Framework., • Understanding of Test Driven Development (TDD) practices. Nice-to-Have Skills: • Experience with Angular for front-end integration., • Experience with Low-Code Development, • Expertise in database tuning for enhanced performance. Contract Snr .NET Engineer - FinTech - OUTSIDE IR35 - 625/day

As a Technical Data and Reporting Manager , youll play a key role in building and maintaining the data and analytics capability that underpins technology performance and decision-making at scale. Youll collaborate with senior stakeholders across multiple business units, developing dashboards, KPIs, and automated reporting processes that deliver meaningful insight and measurable impact. Key Responsibilities: Design, build, and maintain management information, KPIs, and reporting dashboards. Define and align data standards across the organisation. Automate data transformation and reporting to improve efficiency and accuracy. Enable self-service analytics and insight for business stakeholders. Ensure robust governance, data quality, and compliance. About You: Experienced in data analytics and management information reporting. Skilled in Power BI or Tableau for data visualisation. Strong technical background with Microsoft data platforms (Power Apps, Azure Data Factory, Synapse). Proven stakeholder management and communication skills. Analytical thinker able to translate complex data into clear business insights. This is an opportunity to work with a leading healthcare organisation at the forefront of digital change helping shape how technology and data drive better outcomes for people and the business.

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. Key Responsibilities - Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation - Work with Azure Data Lake, Synapse, and SQL DW to ma

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. Key Responsibilities - Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation - Work with Azure Data Lake, Synapse, and SQL DW to ma

What We're Looking For: Essential • Ability to read and write in English (depending on area of work) • Good numeracy and communication skills • Willingness to work in a factory environment Desirable • Previous food production or factory experience • Awareness of the Food Processing Industr

First Call Contract Services are one of the largest providers of temporary recruitment solutions in the U.We have an exciting opportunity work in one of our client factory in NW10.This role offers a salary starting with £13.A Food Production factory (ready meals ) looking for Preparation department

Working closely with both internal teams and their global factory base, you will work across the supply chain, procurement, and demand planning functions of the business. Supply Chain, Procurement, Buying, or Demand Planning. Ensure the smooth running of the inbound supply chain, including OTIF fulf

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. The company works a hybrid model, with 3 days per week in the office, located in St Pauls As a Data Analyst you will: Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. The migration of legacy data warehouse to strategic data platform. Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Essential Skills for the Data Analyst: Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. The company works a hybrid model, with 3 days per week in the office, located in St Pauls As a Data Analyst you will: Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. The migration of legacy data warehouse to strategic data platform. Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Essential Skills for the Data Analyst: Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

As a Technical Data and Reporting Manager , youll play a key role in building and maintaining the data and analytics capability that underpins technology performance and decision-making at scale. Youll collaborate with senior stakeholders across multiple business units, developing dashboards, KPIs, and automated reporting processes that deliver meaningful insight and measurable impact. Key Responsibilities: Design, build, and maintain management information, KPIs, and reporting dashboards. Define and align data standards across the organisation. Automate data transformation and reporting to improve efficiency and accuracy. Enable self-service analytics and insight for business stakeholders. Ensure robust governance, data quality, and compliance. About You: Experienced in data analytics and management information reporting. Skilled in Power BI or Tableau for data visualisation. Strong technical background with Microsoft data platforms (Power Apps, Azure Data Factory, Synapse). Proven stakeholder management and communication skills. Analytical thinker able to translate complex data into clear business insights. This is an opportunity to work with a leading healthcare organisation at the forefront of digital change helping shape how technology and data drive better outcomes for people and the business.

Senior Data Engineer Job Type : Permanent Location: Hub Location (London/Reading/Birmingham/Glasgow/Leeds) Excellent career opportunity! TDRC are excited to be once again working with one of the UKs leading Wealth Management firms. Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do. Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform architecture and integration patterns. Implement and maintain data validation, monitoring, and quality frameworks. Mentor and support data engineers, ensuring adherence to engineering best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of data structures, storage layers, and integration for analytics. Microsoft Fabric (Emerging): Contribute to the organisations transition and adoption strategy. Git / Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT / Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Analytical and adaptable in resolving complex data challenges. Quality-focused with a continuous improvement mindset. 5+ years of experience in a Data Engineering role within a cloud-based environment. ~ Proven delivery of data solutions using Azure Data Factory, Synapse Analytics, and Power BI. ~ Experience leading or contributing to data platform modernisation initiatives, ideally involving Microsoft Fabric. ~ This is an impressive business offering a supportive work environment with opportunities for both personal and professional development. Holiday Entitlement25 days rising to 28 over 5 years ~ Holiday purchase scheme - 5 days and carry over 5 days into the following year ~3-4 days over Christmas offices close ~ Private Medical Insurance (PMI) MHD with optical & dental cover(no upper age limit) ~ Group Income Protection (GIP) 75% of salary (to state pension age) ~ Critical Illness Cover (CIC) -10k cover (to age 70) ~ Bonus scheme ~ Professional qualifications, study, training and development ~ Get in touch to find out more about the benefit package, the organisation, and this career opportunity. The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies.

Senior Data Engineer HealthTech / AI-Driven Data Platform Paddington, London Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. As they scale their data capability, theyre hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. 4+ years experience in data engineering or analytics engineering roles. ~ Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). ~ Solid grasp of data modelling, orchestration, and CI/CD best practices . ~ Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). ~ Strong communicator comfortable working with product, clinical, and data science teams. ~ Interest in contributing to data-driven healthcare innovation . Work at the intersection of healthcare and AI , solving meaningful real-world problems. Influence the technical direction of a modern cloud-first data platform . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark

Data Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits Data Analyst needed for a leading global commodities trading house, with a diverse portfolio across energy, gas, power, LNG, and related markets, is expanding its Data Analyst team with the addition of a Data Analyst. This is an exciting opportunity for a data-driven professional from a trading or financial services background, ideally with strong exposure to derivatives from a middle office perspective, if you come from commodities such as oil, gas, power and LNG is also a plus. The Data Analyst will become an integral part of the front office, working directly alongside derivatives traders and commercial teams. Youll join a high-performing Data Centre of Excellence a multidisciplinary team of experts in Data Analysis, Data Intelligence, and Machine Learning dedicated to transforming complex market and operational data into actionable insights that drive trading performance and strategic decisions. In this role as a data analyst, youll play a hands-on part in the data acquisition and trading lifecycle. Operating at the intersection of trading, risk, and technology, youll work closely with traders and quantitative teams to deliver real-time data solutions that support pricing, hedging, and risk management strategies. The salary on offer for this Data Analyst Role , is up to 90,000 + Bonus and Benefits package. The company works a hybrid model, with 3 days per week in the office, located in St Pauls As a Data Analyst you will: Analysing data sourcing, how it flows and is housed in the organisation. You will map how to acquire data from primary and secondary sources and maintain data systems. The migration of legacy data warehouse to strategic data platform. Identifying, collecting and migrating data to and from a range of systems into the central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Essential Skills for the Data Analyst: Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please reply with your latest CV or send it to Analyst, Power BI | Commodities Trading House - Energy Trading | London, Hybrid | up to 90k + Bonus, Benefits

Data Engineer Job Type : Permanent Location: Hub Location (London/Reading/Birmingham/Leeds/Glasgow) Full time (35 hours) with 3 days per week in the office Excellent career opportunity! TDRC are excited to be once again working with one of the UKs leading Wealth Management firms. Through their robust infrastructure, cutting edge technology, and exceptional support, they are delivering an excellent and reliable service to their continuously expanding client base. They are providing the utmost level of quality and security in everything they do. The Data Engineer will play a key role in developing and maintaining Power BI reports and dashboards to support the businesss operational MI, while contributing to broader data initiatives within Azure Data Factory, Synapse Analytics, and the ongoing migration to Microsoft Fabric. This is a hands-on delivery role suited to a mid-level engineer with strong technical ability and a desire to grow within a modern cloud data environment. Build and maintain Power BI reports and dashboards that deliver accurate and timely insights for operational and business stakeholders. Develop, test, and maintain ETL pipelines in Azure Data Factory (ADF) to ensure reliable data integration and transformation. Work with Azure Synapse Analytics to model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Contribute to data quality checks, documentation, and continuous improvement across the data platform. Participate in Agile delivery using Azure DevOps for task management and version control. Power BI: Strong experience in developing and publishing reports, dashboards, and data models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git / Azure DevOps: Familiar with version control and Agile delivery workflows. Microsoft Fabric (Desirable): Awareness or early exposure to Fabric data pipelines, dataflows, and workspace management. Proactive in identifying improvements to processes and data quality. 24 years of experience in a Data Engineering or BI Development role. ~ Demonstrable experience with Power BI, Azure Data Factory, and SQL. ~ Exposure to Azure Synapse Analytics and an interest in Microsoft Fabric preferred . This is an impressive business offering a supportive work environment with opportunities for both personal and professional development. Holiday Entitlement25 days rising to 28 over 5 years ~ Holiday purchase scheme - 5 days and carry over 5 days into the following year ~3-4 days over Christmas offices close ~ Private Medical Insurance (PMI) MHD with optical & dental cover(no upper age limit) ~ Group Income Protection (GIP) 75% of salary (to state pension age) ~ Critical Illness Cover (CIC) -10k cover (to age 70) ~ Bonus scheme ~ Professional qualifications, study, training and development ~ Get in touch to find out more about the benefit package, the organisation, and this career opportunity. The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies.

Data Solution Architect - Conceptual Data Models, Data Vault 2.0, Azure Up to £800 per day (Inside IR35) London / Hybrid My client is an instantly recognisable Insurance brand who urgently require a Data Solution Architect with expertise in Conceptual Data Modelling, Solution Architecture specifically within Data, exceptional stakeholder management skills and experience of implementing Data Vault 2.0 to join a business-critical Programme ASAP. Your CV will need to clearly state how you are involved in the process of leading / managing/ maintaining / uplifted / improving Conceptual Data Models, as well as where you have implemented Data Vault 2.0. Proven expertise in Data Solution Architecture working on large, complex Data Programmes Strong experience of Conceptual Data Models (leading / managing / maintaining / uplifted / improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Previous experience with large, Enterprise scale Data sets and sources Strong understanding of Data Governance principles (Data stewardship, Data quality and compliance guardrails as well as Data quality, lineage, lifecycle management and security) Flexible approach to hybrid working (attending workshops, possibly across differ locations if needed) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Insurance industry experience, with good understanding of what a claim is, claims process(es) etc Previous work on Data strategies ai Immediate availability Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Work with IT teams, product managers and data analytics teams to understand data needs to develop Smart Factory data landscape. What will be your key responsibilities? - Determine, implement and ensure adherence to global architectural and data standards and principles for Pet Nutrition Data & Anal

Commutable: Great Warley, Brentwood, Romford, Chadwell Heath.NEW Exciting opportunity has just risen for a motivated Maintenance Engineer to work at a world-renowned FMCG company based in the Essex area.This company has been investing millions back into their factory, installing new machinery.The Ma

Learn how a clothing factory operates. Clothing Manufacturers UK London provides various services to enable you to make your own fashion brand. At Clothing Manufacturers UK, we work with highly experienced manufacturers and suppliers in the industry.

Health, Safety and Quality Manager (SHEQ Manager)£Up to 55k + Benefits South ABJ7640 An experienced Health, Safety, Environment and Quality Manager (SHE manager, SHEQ manager, H&S manager) is urgently required within a factory/ electrical engineering equipment environment. Work towards the Company

Berry Recruitment are currently recruiting for a Production Operative to work both Day and Night shifts for a busy manufacturing business based in King's Lynn. Assist in the running of the production lines assuring all products are met to the right standard. General factory and production duties.

Experience designing and developing ETL/ELT processes using the Azure platform – Azure Synapse, Data Factory, Databricks or Fabric. Projects typically span data ingestion, data storage (e. This role sits within their specialist Data Practice – where you'll work as part of an Agile team to delive

Creating and reviewing product specifications to be sent to the factory, proof-checking artwork and ensuring the contents, product imagery, barcodes, product codes and batch codes are all correct. Work with Production & PD Manager to select best factories by product. This exciting role involves work

Data Engineer – Python | SQL | Azure | Microsoft Fabric Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation. Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. Proven experience as a Data Engineer or similar role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. Strong problem-solving skills and the ability to work in an agile, collaborative environment Opportunity to be part of a Microsoft Fabric implementation, shaping a next-generation cloud data platform. Work with cutting-edge Azure technologies and modern data engineering practices. Competitive salary, comprehensive benefits, and strong professional development opportunities. If you’re passionate about building modern data solutions with Python, SQL, Azure, and Microsoft Fabric, we’d love to hear from you. Apply now and help us deliver smarter, data-driven decisions.

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. Key Responsibilities - Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation - Work with Azure Data Lake, Synapse, and SQL DW to ma

Data Engineer Python | SQL | Azure | Microsoft Fabric Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? Were looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud with a focus on an exciting Microsoft Fabric implementation. Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. Proven experience as a Data Engineer or similar role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. Strong problem-solving skills and the ability to work in an agile, collaborative environment Opportunity to be part of a Microsoft Fabric implementation, shaping a next-generation cloud data platform. Work with cutting-edge Azure technologies and modern data engineering practices. Competitive salary, comprehensive benefits, and strong professional development opportunities. If youre passionate about building modern data solutions with Python, SQL, Azure, and Microsoft Fabric, wed love to hear from you. Apply now and help us deliver smarter, data-driven decisions.

Data Engineer Python | SQL | Azure | Microsoft Fabric Financial Services Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? Were looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud with a focus on an exciting Microsoft Fabric implementation. Design and build robust data pipelines and ETL processes using Python and SQL. Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform. Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions. Optimise data workflows for performance, reliability, and cost efficiency. Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making. Implement best practices for data governance, monitoring, and CI/CD automation. Proven experience as a Data Engineer or similar role. Must have financial services experience Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling). Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.). Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies. Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks. Strong problem-solving skills and the ability to work in an agile, collaborative environment Opportunity to be part of a Microsoft Fabric implementation, shaping a next-generation cloud data platform. Work with cutting-edge Azure technologies and modern data engineering practices. Competitive salary, comprehensive benefits, and strong professional development opportunities. If youre passionate about building modern data solutions with Python, SQL, Azure, and Microsoft Fabric, wed love to hear from you. Apply now and help us deliver smarter, data-driven decisions.

The Systems Engineer - Electronic Warfare Systems will work as part of a dynamic systems engineering team that will mature the EW system design and support procurement of EW subsystems through all design phases, Factory Acceptance Testing, Integration, Set-to-Work and final acceptance trials. Gradua

As a Graduate Azure Integration & Data Cloud Consultant, you’ll specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You’ll work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, PowerBI, Databricks, Azure DevOps, OpenAI and so on. Y