Social network you want to login/join with: Head of Data Engineering & Analytics, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Company Description AlTi Tiedemann Global (“AlTi”) is a NASDAQ listed global wealth … you share our passion for ideas and commitment to excellence, we want you to join us. To learn more visit alti-global.com. Job Description & Overview The Head of Data Engineering & Analytics will lead the development and execution of AlTi’s enterprise data engineering strategy, enabling the capture, transformation, storage and delivery of high-quality data … code, automated testing, release and version control and system observability for data pipelines. Establish metrics and KPIs and identify and deploy tools to measure datapipeline health, data quality, timeliness and accuracy, team performance, cost-effectiveness, and business impact. Actively mentor and grow talent within the team while fostering a collaborative and outcome More ❯
a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: DataPipeline Development & Optimisation: Design, develop, and maintain robust and scalable datapipelines for ingesting, transforming, and loading data from various sources (e.g., APIs, databases, financial data … technical solutions. Communicate technical concepts effectively to both technical and non-technical audiences. Participate in code reviews and knowledge sharing sessions. Automation & DevOps: Implement automation for datapipeline deployments and other data engineering tasks. Work with DevOps teams to implement and Build CI/CD pipelines, for environmental deployments. Promote and implement DevOps best practices. … Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and datapipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance More ❯
Bracknell, England, United Kingdom Hybrid / WFH Options
Evelyn Partners
significant decisions with confidence, provide strong foundations for the future and guide them towards their goals. Job Description Job Purpose Evelyn Partners is recruiting a skilled and experienced Data Engineer to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible … for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. Our data platform's support regulatory requirements, business intelligence & reporting needs and … numerous system integrations. This role requires strong technical proficiency and a deep understanding of data engineering and data warehousing principles and practices. You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for dataMore ❯
our people, customers and quality of work differentiates us. We always support our people and customers to achieve shared, agreed goals. Role Overview: As a Senior Technical Consultant - Data and AI, you will be responsible for designing, implementing, and optimizing data and AI solutions for our clients. You will work closely with clients to understand their … business needs and translate them into technical solutions that leverage the latest technologies in data and AI. This role requires a deep understanding of data architecture, machine learning, and AI technologies, as well as strong problem-solving and communication skills. Key Responsibilities: Design and implement data and AI solutions that meet client requirements. Collaborate … with clients to understand their business needs and translate them into technical solutions. Develop and maintain datapipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services More ❯
Social network you want to login/join with: Senior Azure Data Engineer + Power BI, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: EVOCS is looking for a Senior Azure Data Engineer with Power BI + Fabric expertise to support the delivery of scalable data solutions for enterprise clients. This is a hands-on individual contributor role focused on building modern Azure-based datapipelines and developing well-structured, high-impact dashboards in Power BI. The ideal candidate has deep experience across the Microsoft data stack and is comfortable working across ingestion, transformation, and reporting layers. Experience working with data from platforms like Procore is a plus. You’ll also play a key role in anchoring our delivery presence in the EMEA region and owning implementations end-to-end in collaboration with senior technical stakeholders. Strong experience with Microsoft Fabric - particularly More ❯
CloudXcel is a technology-driven company dedicated to providing innovative cloud solutions to businesses worldwide. Our mission is to empower organizations to harness the full potential of their data in the cloud, unlocking insights and driving transformation. With a commitment to cutting-edge technologies and a dynamic, inclusive work environment, we foster growth, creativity, and innovation. Overview: CloudXcel … is seeking a talented and highly motivated Cloud Data Engineer with expertise in Python to join our team. In this role, you will work closely with cross-functional teams to design, develop, and optimize cloud-based datapipelines and infrastructure. The ideal candidate is passionate about data engineering, proficient in Python, and eager to … solve complex challenges in a fast-paced, collaborative environment. Key Responsibilities: Design, develop, and maintain scalable cloud-based datapipelines to collect, process, and analyze large datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and More ❯
and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO Key responsibilities Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice Define, document and iterate data mappings based on concepts and principles of data modelling Re-engineer datapipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement … data flows to connect operational systems, data for analytics and business intelligence (BI) systems Deliver high quality implementation and documentation for critical functionality Deliver code, unit tests, feature tests, stubs and integration tests. Operate in an agile environment as part of a scrum team and participate in sprint rituals Work with team members to understand designs More ❯
Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, Slough Location: Slough, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Lead Data Scientist - Equity-Only role (1%) About Luupli Luupli is a social media app 'in development' that … The platform will highlight their work and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to understand business goals and define analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build datapipelines and ETL processes for data extraction, transformation, and … loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or More ❯
Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, Oxford district col-narrow-left Client: Location: Oxford district, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Lead Data Scientist - Equity-Only role … development', aiming to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to social media opportunities. Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will work with cross-functional teams to develop data-driven solutions and recommendations, shaping our data strategy and supporting business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design datapipelines and ETL processes for diverse data sources. More ❯
Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, High Wycombe Client: Location: High Wycombe, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Lead Data Scientist - Equity-Only Role About Luupli Luupli is a social media app 'in … that aims to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to social media opportunities. Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will work with data engineers, product managers, and stakeholders … to develop data-driven solutions and provide actionable recommendations. Your expertise will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, data requirements, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build dataMore ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: Senior Azure Data Engineer - Remote, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Remote Working - UK Home-based with occasional travel into the office … allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business … and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test datapipelines and More ❯
technologies to improve safety and the ease of use - they have introduced several industry-first products and maintain a strong focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Role & Responsibilities: Data Infrastructure & Support: Provide first-line support for data engineering tasks, such as managing and monitoring datapipelines, resolving issues, and ensuring data integrity. Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation. Maintain accurate documentation of data … resources and troubleshooting data-related errors. Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot datapipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist More ❯
technologies to improve safety and the ease of use - they have introduced several industry-first products and maintain a strong focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Role & Responsibilities: Data Infrastructure & Support: Provide first-line support for data engineering tasks, such as managing and monitoring datapipelines, resolving issues, and ensuring data integrity. Work with both structured and unstructured datasets to design and implement data models, perform data cleansing, transformation, and validation. Maintain accurate documentation of data … resources and troubleshooting data-related errors. Collaborate with business stakeholders to identify data requirements and deliver sustainable solutions. Monitor and troubleshoot datapipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist More ❯
integrated teams work across disciplines, applying digital innovation and best-in-class project delivery. Role Overview: We are seeking a talented and proactive Power BI Specialist to support data-driven decision-making on some of the most complex infrastructure programs in the region. You will be responsible for developing insightful dashboards and reports that drive operational performance, track … billion-dollar infrastructure, energy, and transportation projects. Key Responsibilities: Develop and maintain interactive dashboards and visualisations using Power BI to support project teams, clients, and senior stakeholders. Integrate data from diverse systems including project management software (Primavera P6, MS Project), finance (SAP, Oracle), GIS, IoT, and Excel-based tools. Collaborate with multidisciplinary teams (engineering, project controls, digital delivery … and data governance) to understand reporting requirements and KPIs. Support real-time project monitoring and automated reporting solutions for cost, schedule, risk, safety, and sustainability metrics. Apply Power Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the More ❯
integrated teams work across disciplines, applying digital innovation and best-in-class project delivery. Role Overview: We are seeking a talented and proactive Power BI Specialist to support data-driven decision-making on some of the most complex infrastructure programs in the region. You will be responsible for developing insightful dashboards and reports that drive operational performance, track … billion-dollar infrastructure, energy, and transportation projects. Key Responsibilities: Develop and maintain interactive dashboards and visualisations using Power BI to support project teams, clients, and senior stakeholders. Integrate data from diverse systems including project management software (Primavera P6, MS Project), finance (SAP, Oracle), GIS, IoT, and Excel-based tools. Collaborate with multidisciplinary teams (engineering, project controls, digital delivery … and data governance) to understand reporting requirements and KPIs. Support real-time project monitoring and automated reporting solutions for cost, schedule, risk, safety, and sustainability metrics. Apply Power Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the More ❯
Are you a new graduate or an early-career professional in data analytics and engineering? Here is your chance to engage in innovative data integration and modelling projects utilising cloud technologies. The opportunity: Collaborate with senior team members to develop and implement data integration and modelling solutions Work on real-world data engineering problems from day one to enhance data quality, accuracy, and accessibility Utilise cloud technologies to optimise data processing and analysis Assist in the design and implementation of datapipelines and workflows Contribute to the continuous improvement of data analytics processes and tools Receive mentorship and training from experienced engineers … in a relaxed and supportive working environment You are: Curious, analytical, and eager to learn new technologies Comfortable working with data, logic, and patterns A clear communicator with a collaborative approach Proficient in SQL, including writing and optimising queries and stored procedures Familiar with AWS Redshift and PostgreSQL or similar OLAP and OLTP databases Experienced with Python, especially More ❯
EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality datapipelines and integration workflows, setting … throughout the development lifecycle. Collaborate with multidisciplinary teams, including a wide range of other roles, to shape solutions that meet both technical and business requirements. Mentor and support data engineering teams, fostering a culture of continuous improvement, knowledge sharing, and technical excellence. Support testing activities by ensuring pipelines are testable, observable, and reliable; work with QA and analysts … to define test strategies, implement automated tests, and validate data quality and integrity. Contribute to technical planning, including estimation, risk assessment, and defining delivery approaches for client engagements and new opportunities. Engage with clients and stakeholders, translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development More ❯
EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 10.06.2025 Expiry Date: 25.07.2025 col-wide Job Description: Key Responsibilities Lead the technical delivery of complex data engineering projects, ensuring solutions are scalable, secure, and aligned with our delivery framework, and client goals. Design and build high-quality datapipelines and integration workflows, setting … throughout the development lifecycle. Collaborate with multidisciplinary teams, including a wide range of other roles, to shape solutions that meet both technical and business requirements. Mentor and support data engineering teams, fostering a culture of continuous improvement, knowledge sharing, and technical excellence. Support testing activities by ensuring pipelines are testable, observable, and reliable; work with QA and analysts … to define test strategies, implement automated tests, and validate data quality and integrity. Contribute to technical planning, including estimation, risk assessment, and defining delivery approaches for client engagements and new opportunities. Engage with clients and stakeholders, translating data requirements into technical solutions and communicating complex ideas clearly and effectively. Champion engineering standards, contributing to the development More ❯
Lead Data Scientist (Equity Only) - 1% Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and provide insights. Collaborate with cross-functional teams to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and … analytics goals. Use AWS tools like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create datapipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop KPIs and dashboards to aid decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate … on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine More ❯
Job Description: The PNE Data Foundations Sr Lead ensures that Pet Nutrition Europe (PNE) has a strong, governed, and scalable data foundation to enable high-quality analytics and insights. This role is critical in bridging the gap between the AOE D&A data team and PNE, ensuring alignment with global data models … governance principles, and strategic data initiatives such as the DDF (Digital Data Foundation) program. What are we looking for? Preferred education Is a university degree In business or IT Strong background in data engineering, data governance, and data architecture, ideally in a multinational or matrixed organization. 5+ years of experience … in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable datapipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master dataMore ❯
Reading, England, United Kingdom Hybrid / WFH Options
Areti Group | B Corp™
Join a Leading Growth business on its transformative journey to become the UK's most recommended businesses in their industry Lead Data Engineer Salary: £70-90k Location: Reading – Hybrid Benefits: Competitive Role Overview: As Lead Data Engineer , you will be part of the Corporate Data team, reporting directly to the Senior Leadership team. … You will lead a small team of data engineers, overseeing the design, build, and maintenance of the infrastructure and systems that collect, store, and process corporate data for reporting and analysis. Key Responsibilities: • Lead and manage a team of data engineers. • Design, build, and maintain data infrastructure and systems. • Ensure effective use … of Microsoft Fabric and Synapse analytics platform. • Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers. Experience required • Dynamic and hands-on leader who excels in managing and coaching a team. • Thrives in a collaborative environment and adapts to changing priorities with ease. • Excellent communication More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: Software Engineer (Consultant) - Data & AI, slough col-narrow-left Client: Pace Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Job Title: Software Engineer (Consultant) - Data & AI Location: London … Client Lifecycle Management (CLM) system for a leading accounting firm. This role is hands-on and impactful – you’ll be designing and building key technical components such as data migrations, Azure-hosted integrations, and system connectivity across Power Platform, Dataverse, and the firm’s practice management system. You’ll work across a modern stack – including Azure Logic Apps … mix of Python, C#, and Typescript – all supported by robust CI/CD pipelines and infrastructure automation. Your contributions will be central to ensuring secure, accurate, and timely data movement across the CLM ecosystem. Working alongside the Technical Business Analyst, Test Manager, Change Manager, and Project Manager, you will contribute across key technical workstreams — including endpoint builds, integration More ❯
login/join with: Duration: contract to run until 31/12/2025 Rate: up to £644 p/d Umbrellainside IR35 We are seeking an experienced Data Modeller with proven expertise in the London Market insurance sector. The successful candidate will play a key role in designing and validating data models that support enterprise … data initiatives. This includes working closely with data engineers, architects, and business stakeholders to ensure data structures are scalable, accurate, and aligned with business needs. Key Skills/requirements Design and maintain conceptual, logical, and physical data models to support reporting, analytics, and operational systems. Collaborate with data engineers and … to non-technical stakeholders. Preferred Skills: Experience with insurance platforms such as Guidewire, Duck Creek, or legacy PAS systems. Knowledge of Delta Lake, Apache Spark, and datapipeline orchestration tools. Exposure to Agile delivery methodologies and tools like JIRA, Confluence, or Azure DevOps. Understanding of regulatory data requirements such as Solvency II, Core DataMore ❯
Social network you want to login/join with: Data and AI - Senior Consultants/Senior Managers, slough col-narrow-left Client: Wavestone Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Company Description Wavestone is a leading global transformation … value. D&AI Architecture & Platform Advisory : Combining architectural assessments with platform selection guidance, providing vendor-independent recommendations for optimal data ecosystem design. Data Migration, Integration & Pipeline Support : Providing strategic guidance on data migration and integration approaches, logical pipeline design, and data flow orchestration, based on best-practice architectural patterns that … and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in datapipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases and architectural choices. Knowledge of dataMore ❯
As a Tech Manager – Data Engineer with AWS experience, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives. Key Responsibilities: Data Integration: Develop and maintain … datapipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. … Data Modeling: Design and implement data models to support analytical and reporting needs, ensuring data accuracy and performance. Data Quality: Implement data quality and data governance best practices to maintain data integrity. Performance Optimization: Identify and resolve performance bottlenecks in datapipelines and storage More ❯