726 to 750 of 880 Data Engineering Jobs in England

Location: Manchester, Greater Manchester, England Salary: £110k - 120k per year Category Data Engineering Sector: IT and Digital Contract type Permanent Consultant: Sammy Todiko Senior Data Engineer – Fully Remote (Manchester) | £110K–£120K Ecom Recruitment are working with a fast-growing digital consultancy delivering cutting-edge data and tech solutions for some of the UK's biggest brands. … We're looking for a Senior Data Engineer to join their expanding data team, someone who's passionate about building cloud-native data platforms and pipelines that actually make an impact. You'll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. What you'll bring: Solid … role based in Manchester 35 days holiday (including flexible bank holidays) Private medical insurance Enhanced parental and adoption leave Pension matched up to 5% If you're a Senior Data Engineer who loves solving complex problems, enjoys variety, and wants to work with modern cloud technologies, we'd love to hear from you. Drop me a message or apply More ❯

About the Role We are seeking a motivated Data Engineer to join our team supporting the a major digitization project. This role is ideal for a recent graduate with a strong academic background in GIS, Remote Sensing, Geomatics, or a related discipline who is eager to apply technical skills in real-world geospatial data processing and digital mapping. … Key Responsibilities Process and manage large-scale spatial datasets from local authorities and government sources. Work with tools such as ArcGIS, QGIS, FME, and Python to support data transformation and automation workflows. Perform data validation, quality assurance, and topological checks to ensure accuracy and consistency. Contribute to digitization workflows, aligning with data specifications and project standards. Collaborate … with the data and QA teams to resolve mapping or attribute discrepancies. Prepare maps, reports, and spatial deliverables as required by project managers. Skills & Qualifications Bachelor’s degree in Geography, Geomatics, GIS, Remote Sensing, or Computer Science. Proficiency in ArcGIS or QGIS for spatial data handling. Familiarity with spatial databases (PostGIS, GeoPackage, etc.) and data formats (Shapefile More ❯

Senior Data Engineer (GenAI) - Leading Tech Company | London (Hybrid) Hybrid: 1 day in the office/4 days WFH Permanent role only Represented by Robert Half Limited Please note: No visa sponsorship on offer, No B2B,B2C, Fully remote workers or contractors on offer. The Opportunity We're looking for a Senior Data Engineer with hands-on GenAI … experience to join a forward-thinking technology business that's building data-driven solutions with real-world impact. This is a highly visible, senior-level role where you'll take ownership of data pipelines, architecture, and GenAI operational frameworks - helping shape the next generation of AI-driven products and analytics. If you enjoy combining engineering rigor with … AI innovation, this role gives you the platform, freedom, and backing to make it happen. Key Responsibilities Design, build, and maintain scalable data pipelines across modern cloud platforms Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ('GenAI Ops') Develop robust ETL/ELT workflows and optimise performance within Snowflake Collaborate with cross-functional teams More ❯

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible click apply for More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such as … Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such as … Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills More ❯

Role Title: ETRM Data Modeler Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders … learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯

days onsite mandatory. Contract/Permanent (Both options are open) Key Responsibilities • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. • Contribute to the platform’s CI/CD pipeline … resilience checks, and observability hooks at every stage. • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack. • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. • Build reusable components that support scalability, modularity, and self-service quality tooling. • Mentor junior engineers and … influence technical standards across the Test Engineering Program. Required Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related technical field. • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering. • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries. • Experience More ❯

days onsite mandatory. Contract/Permanent (Both options are open) Key Responsibilities • Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. • Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. • Contribute to the platform’s CI/CD pipeline … resilience checks, and observability hooks at every stage. • Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack. • Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. • Build reusable components that support scalability, modularity, and self-service quality tooling. • Mentor junior engineers and … influence technical standards across the Test Engineering Program. Required Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related technical field. • 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering. • Expert in Python with a strong understanding of object-oriented programming, testing frameworks, and automation libraries. • Experience More ❯

recruit a Quantitative Developer on a contract basis A leading hedge fund with a strong track record in systematic and quantitative trading. The firm combines advanced research, technology, and data to deliver market-leading performance across multiple asset classes. They are seeking a Quantitative Developer on a 6-month contract to support the ongoing development of research tools, trading … enhancements within their core systematic strategies team. Role The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models. Build and enhance data pipelines and backtesting frameworks for large-scale market data. Integrate new data sources and ensure data quality and reliability across research environments. Refactor and optimise existing code … experience as a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability More ❯

Banking or Financial Services are a must in recent years. We're hiring a Data Engineer to build and maintain robust data pipelines, deliver actionable insights, and develop ML models for business impact. The role involves ensuring data quality, security, and system health, while championing client needs and uncovering value in marketing datasets. Requirements: Bachelor’s in … Engineering, Computer Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious More ❯

Banking or Financial Services are a must in recent years. We're hiring a Data Engineer to build and maintain robust data pipelines, deliver actionable insights, and develop ML models for business impact. The role involves ensuring data quality, security, and system health, while championing client needs and uncovering value in marketing datasets. Requirements: Bachelor’s in … Engineering, Computer Science, Math, or Marketing Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids) Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred) Databricks certification is a plus Strong communicator and technical writer Track record with high-quality, stable, and high-performance data pipelines in scrum teams Curious More ❯

Operational/Data Engineer £552/day Inside IR-35 Telford - 2 days per week Contract until end of April 2026 Sanderson Government and Defence are supporting a public sector consultancy client in their efforts to support a government organisation within an anti-fraud function. Technical specifics are below, please note this is not a typical Data Engineering role. SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI) Platform LSF, Jira, Platform Support GIT Strong expertise in ETL tools: Pentaho, Talend Experience with data virtualization using Denodo Proficiency in SAS for data analytics and reporting Oracle (good to have) Solid understanding of Agile and Scrum frameworks Hands-on experience with DevOps tools and practices … e.g., Jenkins, Git, Docker, Kubernetes) Strong SQL and data modeling skills Excellent problem-solving, communication, and leadership abilities Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united More ❯

Spring, Microservices and AWS We are looking for 8+ years experienced highly skilled Software Engineer with strong experience in Java, Spring, and Microservices development, along with exposure to big data processing and cloud-native technologies. The ideal candidate will design, build, and maintain scalable systems that process large volumes of data in real time. JD: Design, develop, and … maintain scalable microservices using Java and Spring Boot. Build and optimize real-time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks. Develop robust data distribution and streaming solutions for high-throughput systems. Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes). Write efficient and optimized SQL queries for relational databases. Integrate and manage … Strong programming skills in Java and Spring Boot. Hands-on experience with Microservices architecture and RESTful APIs. Proficiency with Kafka and distributed streaming systems. Solid understanding of SQL and data modeling. Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc. More ❯

Tick Data Engineer – London (Buy-Side) Our client, a leading London buy-side firm, is looking for a Tick Data Engineer to build and maintain the data infrastructure that powers their trading and research teams. You’ll be responsible for: Handling billions of ticks per day efficiently Building low-latency, scalable pipelines Delivering reliable, query-ready datasets … to quants and researchers What they are looking for: Experience in distributed data engineering at scale Strong coding skills in Python, C++ or Java Familiarity with kdb+, ClickHouse, Kafka, Parquet/Arrow Previous experience with tick-level financial data is a strong advantage More ❯

Tick Data Engineer – London (Buy-Side) Our client, a leading London buy-side firm, is looking for a Tick Data Engineer to build and maintain the data infrastructure that powers their trading and research teams. You’ll be responsible for: Handling billions of ticks per day efficiently Building low-latency, scalable pipelines Delivering reliable, query-ready datasets … to quants and researchers What they are looking for: Experience in distributed data engineering at scale Strong coding skills in Python, C++ or Java Familiarity with kdb+, ClickHouse, Kafka, Parquet/Arrow Previous experience with tick-level financial data is a strong advantage More ❯

cross-product integration Shape the Future: we are positioned to define the next generation of intelligent digital interaction across global brands The Role We are seeking an exceptional Staff Data Scientist who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting … in this order of relevanceGitHub, Docker, GitHub Actions, Terraform, KubernetesPandas, PySpark and SparkVertex AI, Azure OpenAI for LLMs Job Responsibilities Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment Architect and design scalable machine learning systems that solve complex challenges Develop and execute the data science team's strategic roadmap, managing complex projects from conception to deployment Make high-impact technical decisions and provide guidance Establish best practices in software engineering and machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and More ❯

We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers … platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software … degree or equivalent work experience You may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data models Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks Understanding of popular More ❯

not just building technology — we’re shaping the future. With 226,500+ innovators across 60 countries and $14.2B in revenue, we’re powering transformation across industries through AI, cloud, engineering, and software. Now, we’re scaling our Generative AI capabilities — and we want you to lead the charge. Generative AI Architect We’re looking for a trailblazing Gen AI … in fast-paced, innovation-driven environments. What You’ll Build & Lead AI System Architecture : Architect scalable, modular Gen AI platforms that power real-time intelligence across domains. Foundation Model Engineering : Fine-tune and optimize LLMs, transformers, and diffusion models for enterprise-grade performance. Data Strategy : Lead data sourcing, integration, and transformation pipelines to fuel high-quality model … with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration Familiarity with HPC workloads and vector databases More ❯

in office) Contract length - initially 6 months Sponsorship is not available for this role We’re working with a forward-thinking tech team looking to bring on a seasoned Data Engineer to lead the delivery of scalable, cloud-native data solutions. Required skillset: 5+ years professional experience within data engineering roles Strong Python skills for data … performance tuning API development using Django or Flask Solid understanding of legacy-to-cloud migration Familiarity with RDBMS (Sybase IQ, Oracle, SQL Server, PostgreSQL) Bonus: Kafka/Spark Streaming, data governance exposure More ❯

the heart of their organisation by identifying and delivering products and services that are right for their customers. Due to a recent merger, my client is looking for a Data Engineer to join their Data team to design, develop and test quality data engineering solutions and to challenge/improve processes, tools and approaches. There is … a potential for the role to be extended or to be moved into a permanent position in the future. Main responsibilities Migration and integration of data into their new ecosystem Undertake review and assurance activity Provide team members with guidance on design, build and test activity Deliver solutions that meet business needs in a timely manner Take responsibility for … testing of solutions including the analysis of requirements, designs of test cases/scripts, preparing test date and creating/executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up More ❯

the heart of their organisation by identifying and delivering products and services that are right for their customers. Due to a recent merger, my client is looking for a Data Engineer to join their Data team to design, develop and test quality data engineering solutions and to challenge/improve processes, tools and approaches. There is … a potential for the role to be extended or to be moved into a permanent position in the future. Main responsibilities Migration and integration of data into their new ecosystem Undertake review and assurance activity Provide team members with guidance on design, build and test activity Deliver solutions that meet business needs in a timely manner Take responsibility for … testing of solutions including the analysis of requirements, designs of test cases/scripts, preparing test date and creating/executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up More ❯

Scala Developer A leading Data & Analytics company seek a Scala Developer to build high-performance data systems that power real insight and innovation. What You’ll Do: Design, build, and optimise data pipelines and distributed systems in Scala. Collaborate with data scientists, engineers, and analysts to turn complex data challenges into elegant, scalable solutions. Work … with modern data technologies (e.g. Spark, Kafka, AWS/GCP, Docker, Kubernetes). Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement. What We’re Looking For: Strong experience with Scala (and ideally the wider JVM ecosystem). Background in data engineering, backend development, or distributed systems. Familiarity with functional programming principles. A collaborative More ❯

Scala Developer A leading Data & Analytics company seek a Scala Developer to build high-performance data systems that power real insight and innovation. What You’ll Do: Design, build, and optimise data pipelines and distributed systems in Scala. Collaborate with data scientists, engineers, and analysts to turn complex data challenges into elegant, scalable solutions. Work … with modern data technologies (e.g. Spark, Kafka, AWS/GCP, Docker, Kubernetes). Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement. What We’re Looking For: Strong experience with Scala (and ideally the wider JVM ecosystem). Background in data engineering, backend development, or distributed systems. Familiarity with functional programming principles. A collaborative More ❯

pension Contract: Full-time, permanent - Open to considering candidates seeking a 4-day work week on a pro rata basis (Fridays off) We are partnering with a specialist data analytics consultancy that has successfully grown into a multi-million-pound business. As they enter an exciting new growth phase, they are seeking a Client Consultancy Lead to help diversify … departments such as DWP, Home Office, MoD, etc. This role is ideal for a commercially minded senior/principal delivery consultant who combines strong technical delivery awareness in digital, data or technology services with excellent relationship-building skills, looking for a less utilisation-heavy role and more of a client relationship lead. The consultancy offers a strong company-wide … Consultancy Lead/Principal Consultant to spearhead growth and open new doors in the UK public sector. The ideal candidate will be a senior consultant who has worked within data, digital transformation, or IT consulting services in central government departments, who is now looking to focus on relationship building and being a trusted advisor to the board. You will More ❯