1,676 to 1,700 of 1,805 Data Engineering Jobs

Title: AI Architect - Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what "good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles - including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect - Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what "good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles - including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what "good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles - including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Architect Location - London Mode - 3 days/week onsite Type - Contract (inside IR 35) Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

please get in touch with at or call TCS London Office number/with the subject line: "Application Support Request". Are you looking to leverage your skills in data analytics and automation frameworks? We have a great opportunity for you - Data Quality Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built … biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Ensure data reliability that global businesses can trust. Build scalable platforms that empower smarter decisions. Drive continuous improvement that shapes real-world impact. The Role As a Data Quality Engineer … you will play a vital role in ensuring the reliability and excellence of cloud-based data platforms by developing and maintaining robust test automation frameworks. Working collaboratively with a cross-functional team, you will drive best practices in testing and contribute to continuous improvement initiatives throughout the development lifecycle. Your responsibilities: Defining tools and frameworks to develop and maintain More ❯

tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you looking to leverage your skills in data analytics and automation frameworks? We have a great opportunity for you - Data Quality Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built … biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Ensure data reliability that global businesses can trust. Build scalable platforms that empower smarter decisions. Drive continuous improvement that shapes real-world impact. The Role As a Data Quality Engineer … you will play a vital role in ensuring the reliability and excellence of cloud-based data platforms by developing and maintaining robust test automation frameworks. Working collaboratively with a cross-functional team, you will drive best practices in testing and contribute to continuous improvement initiatives throughout the development lifecycle. Your responsibilities: Defining tools and frameworks to develop and maintain More ❯

tcs.com or call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Are you looking to leverage your skills in data analytics and automation frameworks? We have a great opportunity for you - Data Quality Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built … biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Ensure data reliability that global businesses can trust. Build scalable platforms that empower smarter decisions. Drive continuous improvement that shapes real-world impact. The Role As a Data Quality Engineer … you will play a vital role in ensuring the reliability and excellence of cloud-based data platforms by developing and maintaining robust test automation frameworks. Working collaboratively with a cross-functional team, you will drive best practices in testing and contribute to continuous improvement initiatives throughout the development lifecycle. Your responsibilities: Defining tools and frameworks to develop and maintain More ❯

Specialist (Agentic AI), you will be responsible to lead the design, integration, testing, and deployment of Agentic AI applications. This role demands deep technical expertise across cloud infrastructure, APIs, data engineering and enterprise connectivity; with hands-on experience in troubleshooting, DevOps, and cross-platform integration. Key responsibilities: System Integration & Architecture - Design and implementation of solution integrations across Databricks …/Production environments. - Manage CI/CD pipelines using Azure DevOps. Access & Security Management - Implement authorization code flows and manage access tokens for user profile extraction. - Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI and other services. Collaboration & Leadership - Work closely with stakeholders, architects, developers & DevOps teams. - Mentor junior engineers and contribute to cross … bug fixes, and deployment blockers. -Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders. Your Profile Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track More ❯

. The job is 100% Remote; please ensure you have a comfortable office set at your desired work location. What You'll Do Design scalable, secure, and high-performance data architectures Translate business requirements into robust technical solutions Guide teams on best practices for building with PySpark, AWS, and Databricks Collaborate with cross-functional teams to align architecture with … product goals Own architectural decisions across cloud infrastructure and data pipelines What We're Looking For 8+ years of experience in data engineering, architecture, or related roles Deep expertise with AWS, Databricks, and PySpark Strong Python and SQL skills Excellent communication and stakeholder management skills Fluent in English (spoken and written More ❯

Senior Data Engineer Location: Trowbridge (Hybrid, 2 days in office) Salary: £70,000 Be part of a forward-thinking data and analytics team shaping the future of our client's operations across the UK, Ireland, and North America. This is a fantastic opportunity to lead data infrastructure projects, including a major cloud migration to Azure, and support … strategic analytics initiatives for both B2C and B2B businesses. Key Responsibilities: Manage and optimize cloud-based data infrastructure (Azure). Lead the migration of data environments to Azure. Maintain high-quality, secure data pipelines with a strong focus on governance. Mentor and support a Data Engineer apprentice. Collaborate across teams to enhance reporting, analytics, and business … intelligence solutions. What You Bring: 5+ years of experience in SQL production environments and data engineering. Strong expertise in SQL, T-SQL, Azure, DataBricks, and SSIS. Experience with data integration, modeling, and performance optimization. Problem-solving mindset and a collaborative approach. Desirable: Experience handling data from APIs and secure protocols. Familiarity with visualization tools (Tableau preferred). More ❯

to help shape the future of our Dart platform—a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda … Visibility: Be a big player in a small, high-impact team with exposure across the organization What We’re Looking For 5–10 years of experience in software/data engineering, ideally in platform or infrastructure roles Strong programming skills in Python; passion for code quality and testing Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform—a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You'll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you're passionate about building … scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda … Visibility: Be a big player in a small, high-impact team with exposure across the organization What We're Looking For 5–10 years of experience in software/data engineering, ideally in platform or infrastructure roles Strong programming skills in Python; passion for code quality and testing Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform—a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda … Visibility: Be a big player in a small, high-impact team with exposure across the organization What We’re Looking For 5–10 years of experience in software/data engineering, ideally in platform or infrastructure roles Strong programming skills in Python; passion for code quality and testing Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform—a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity is a plus) AWS: S3, Kinesis, Glue, Lambda … Visibility: Be a big player in a small, high-impact team with exposure across the organization What We’re Looking For 5–10 years of experience in software/data engineering, ideally in platform or infrastructure roles Strong programming skills in Python; passion for code quality and testing Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue … Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue … Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue … Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front More ❯