601 to 625 of 690 Data Warehouse Jobs

Title: Senior Data Consultant Salary: Up to £90,000 D.O.E Location: Bristol (hybrid) Are you a Senior Data Consultant looking for your next challenge? We are working with a rapidly growing, industry-leading consultancy to find ambitious data experts who can combine deep technical knowledge with strategic leadership. This is an exciting opportunity to … work on enterprise-scale cloud data projects, drive business impact, and influence major decisions while mentoring and leading teams. If you thrive on solving complex challenges and building strong client relationships, this role is for you! What You'll Be Doing: Leading the design and delivery of cutting-edge data solutions, ensuring alignment with business goals. … to expand the company's offerings. Representing the business at client meetings, industry events, and marketing initiatives. What You'll Need to Succeed: Strong expertise in cloud analytics, data warehousing, and modern data architectures (Snowflake, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders. Consulting experience, with a track record of More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling … data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and … needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. If you are interested and for immediate consideration, please can you send your CV ASAP More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling … data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and … needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. If you are interested and for immediate consideration, please can you send your CV ASAP More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling … data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and … needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. If you are interested and for immediate consideration, please can you send your CV ASAP More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling … data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and … needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. If you are interested and for immediate consideration, please can you send your CV ASAP More ❯

At Capgemini Financial Services, we are seeking a AWS Databricks Developer to join Capgemini's Insights and Data Practice. You will have the following experience : 8+ years of experience in data engineering or cloud development. Strong hands-on experience with AWS services Proficiency in Databricks, Apache Spark, SQL, and Python. Experience with data modeling … data warehousing, and DevOps practices. Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs. Excellent problem-solving and communication skills. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and … needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. If you are interested and for immediate consideration, please can you send your CV ASAP More ❯

and understandable and delivered on time in accordance with approved project plan by the client. Minimum eight years of in-depth knowledge of financial, procurement, and asset management data and systems. Minimum eight years of demonstrated successful experience with and understanding of Federal accounting concepts and standards, Federal procurement concepts (including the Federal Acquisition Regulations (FAR , Chief Financial … and serving as the primary interface between the government and the Contractor's technical team Minimum eight years of demonstrated hands-on experience and expertise in ERP systems, Data Governance, database engineering, enterprise architecture, service management, management advisory services, and administrative/clerical support. Minimum eight years' experience leading data modeling, data warehousing, and … data migration activities Eight years of AWS console and RDMS experience Eight years of Oracle database experience Five years of Informatica experience in implementing and supporting IICS, PowerCenter, and IDQ. Five years of experience as a business intelligence/reporting architect EDUCATION AND CERTIFICATION REQUIREMENTS: Successful candidates must possess a Bachelor's Degree or higher. Successful candidates must More ❯

Senior Data Scientist Hybrid - London 1 day per week Up to £80,000 About the Role We are working with a high-growth performance marketing and technology company who are looking for a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you … ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. … Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner More ❯

Senior Data Scientist Hybrid - London 1 day per week Up to £80,000 About the Role We are working with a high-growth performance marketing and technology company who are looking for a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you … ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. … Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner More ❯

Our client, a global sportswear brand, is implementing a new BI solution to improve decision-making across both commercial operations and finance. With much of the data groundwork already in place, the focus now is to build and deliver high-impact Power BI dashboards that connect multiple systems and provide actionable insights for business teams. You will work … and dashboards that enable the business to track sales, product performance, and financial KPIs at a granular level. Key Responsibilities Build and optimise the underlying infrastructure for replicating data into an Azure SQL data warehouse. Develop Power BI dashboards that support: Commercial insights – product & territory performance (B2C & B2B), price-point efficiency, stock turnaround, demographic analysis. Finance … insights – order-level margin analysis, forecasting, historical performance, customer and vendor payment behaviour, revenue/margin reporting. Connect and integrate data sources including Shopify, CRM, payment gateways, SAGE, STYLEman ERP, and partner programmes. Translate stakeholder requirements into practical BI solutions with strong usability and commercial/financial relevance. Ensure scalability, performance, and governance of BI solutions in Azure. More ❯

Systems London £120k-£150k + Equity On-site (5 days/week) We're working with a stealthy but seriously impressive startup that's rebuilding the data warehouse from the ground up-designed for complex, multimodal data like time-series, geospatial, point clouds, genomics, video, and more. This is a rare opportunity to join a … do foundational work with real long-term impact Visa sponsorship available If you want to work on hard problems with a sharp team-and build the future of data infrastructure-get in touch. Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across the More ❯

Experience in Cloud Data Pipelines Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting. They are also crucial for secondary tasks such as flow pipelines, streamlining … systems. Key Skills and Experiences Strong programming experience in Python Proven experience working on the MS Azure cloud platform and its native tech stack in designing and building data & AI solutions Experience with data modeling, ETL processes, and data warehousing Knowledge of big data tools and frameworks such as Spark, Hadoop, or More ❯

Proven experience as a SnapLogic Developer/Engineer. Strong expertise in SnapLogic pipeline design, integration patterns, and deployment. Solid understanding of APIs, web services (REST/SOAP), and data formats (JSON, XML, CSV, Flat Files). Hands-on experience in error handling, debugging, and performance tuning of integrations. Familiarity with relational databases (SQL/NoSQL) and cloud platforms … platforms. Exposure to DevOps, CI/CD pipelines, and version control tools (Git, Bitbucket). Knowledge of enterprise applications such as Salesforce, Workday, SAP, or ServiceNow. Experience with data warehousing, big data, or analytics platforms. More ❯

scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Client Domain is responsible for shaping data capabilities that drive client-focused outcomes. The department works closely with architects, technical leads, and business stakeholders to design, evolve, and communicate data models that underpin our … digital and analytical solutions. About the Role We are seeking a detail-oriented and technically proficient Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications … and junior team members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. More ❯

Senior Software Engineer - Data Management & Analytics Platform Location New York Business Area Engineering and CTO Ref # Description & Requirements At Bloomberg, data is at the heart of everything we do. As part of the DMAP Viz Solutions & Reporting team, you will play a critical role in driving analytics throughout the organization to improve our products, engage … better with our customers, create greater efficiencies, and drive new businesses by providing insights into the data. Our data captures the who, what, when, where and why of how our clients use Bloomberg products, how our systems execute, and how our employees engage with our customers. We are responsible for ingesting and preparing massive amounts of data … API 4+ Years of Experience in SQL capabilities and dimensional modeling Ability to write code in python/javascript to contribute to the build & tool integration processes Strong data reporting and visualization experience with the ability to tell a story and drive analytics solutions BA, BS, MS, PhD in Computer Science, Engineering or related technology field We'd More ❯

doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable … drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to More ❯

doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable … drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to More ❯

doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable … drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to More ❯

doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable … drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to More ❯

doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable … drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to More ❯

within the various business areas, by co-ordinating both business teams across large-scale transformation projects, handling small change service requests, and contributing to the ongoing development of data warehouses More ❯

accounts, driving strategy and delivering measurable impact. Lead discovery, solutioning, and change management to help clients achieve their goals. Use your expertise in Braze and adjacent platforms (CDPs, data warehouses, middleware) to craft best-in-class solutions. Manage multiple accounts simultaneously, ensuring timely, high-quality execution. Step into complex accounts and escalations to troubleshoot and lead solutions. Identify More ❯

8+ years of experience in Data Integration and ETL development. Strong hands-on expertise in Oracle Data Integrator (ODI 12c). Proficiency in Google BigQuery, including writing optimized SQL queries and understanding partitioning/clustering. Experience in working with cloud platforms, preferably Google Cloud Platform (GCP). Solid understanding of data warehousing concepts, dimensional … modeling, and data lakes. Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL). Ability to troubleshoot and resolve complex data transformation and integration issues. Experience working in Agile/Scrum environments. Strong analytical, problem-solving, and communication skills. More ❯

a connected, intuitive digital ecosystem that powers everything we offer clubs, coaches, members, volunteers, and fans. You'll have ownership of our entire digital landscape - modernising platforms, consolidating data, embedding a future-proof architecture, and championing a user-first mindset across the organisation. You'll work closely with the CEO and senior leadership team to make digital a … s next chapter. What you'll be doing As CDO, you will: Lead the digital strategy and oversee its execution, including the creation of a centralised data warehouse Simplify and unify our fragmented tech stack Replace or rebuild outdated systems and reduce technical risk Manage the successful delivery of new services Ensure strong governance, security, and compliance … across all platforms Inspire, mentor, and build a high-performing digital and data team Collaborate with colleagues and external partners to make technology work better - for members, volunteers, and the broader rowing community A bit about you We're looking for someone who: Has deep experience leading digital transformation in complex environments Is as comfortable setting strategy as More ❯

optimise databases for reliability and scalability. Performance Tuning – Implement indexing, query optimisation, and resource management. Security & Compliance – Manage user permissions, encryption, and regulatory compliance. Collaboration – Work with developers, data engineers, and business teams to align database solutions with business needs. What You’ll Need Proven experience as a Database Developer or DBA . Expertise in SQL Server & Azure … SQL , including database design and optimisation. Strong T-SQL skills (queries, stored procedures, functions). Experience with performance tuning, backup strategies, and high availability . Knowledge of data security best practices and compliance requirements. Familiarity with Azure Data Services (Data Factory, Storage). Understanding of DevOps, version control (Git), and automation . Nice to … Have Knowledge of ETL, data warehousing, and PowerShell scripting . Microsoft certifications (Azure Database Administrator, SQL Server). If you're a detail-oriented Database Developer looking for a role that offers technical challenge, career growth, and a people-first culture , apply today or message me for more details. More ❯