76 to 100 of 2,996 Data Engineering Jobs

from home based on business needs. An average day: As Computer Systems Engineer II, you will be responsible for designing, implementing, and optimizing critical systems that support a complex data engineering environment. The role engages with cross-functional teams to build efficient and secure infrastructures, enabling advanced capabilities across various technical domains. In this position you will: Plan … and maintain robust CI/CD pipelines to streamline software development, testing, and deployment Develop and maintain automated scripts and tools for monitoring, alerting, and troubleshooting systems Collaborate with data engineering teams to optimize data pipelines for AI/ML initiatives, automation, and productization Lead efforts to integrate security best practices, ensuring compliance with relevant regulations and … optimization in cloud platforms such as AWS, Azure, or Google Cloud. Support Incident Response and Disaster Recovery Planning - Help develop and test system recovery procedures to minimize downtime and data loss in the event of failures or cyber incidents. Contribute to System Performance Optimization - Analyze system logs, identify performance bottlenecks, and work with senior engineers to implement optimizations that More ❯

flexibility to work from home based on business needs. An average day: As Computer Systems Analyst I, you will support the maintenance, optimization, and oversight of an organization's data infrastructure, ensuring effective system performance and data integrity across various environments. In this position you will: Assist in monitoring, updating, and maintaining bronze, silver, and gold data … both classified and unclassified environments. Work with senior team members to optimize system performance and conduct basic troubleshooting for routine technical issues. Participate in the design and implementation of data pipelines, ensuring data flows efficiently and securely between source systems and target storage. Support the data quality process by verifying data accuracy, consistency, and completeness under … the guidance of experienced analysts. Contribute to proper access controls, helping manage user permissions and compliance with security protocols. Collaborate with cross-functional teams to enable data productization, AI/ML initiatives, and automation projects. Document processes, system configurations, and updates to maintain clear and detailed knowledge sharing resources. Assist in CI/CD pipeline activities by conducting basic More ❯

As a Head of Data Science & Engineering as a senior member of the Data & Analytics team you will join us on our journey and undertake a valuable role responsible for the development and delivery of functional strategies, role always modelling the Post Office behaviours and demonstrating a Postmaster first mindset. The job title will be responsible for … leading the development, deployment, and optimisation of data science models and engineering pipelines to drive business transformation. Reporting to the Data & Analytics Director, this role provides strategic and technical leadership to a team of data scientists and data engineers, to facilitate high-quality and actionable insights by ensuring that data is available and reliable. … The role will also oversee workflow prioritisation, quality assurance, and the implementation of best practices in data science and engineering to enhance decision-making across the organisation. Additionally, the Head of Data Science & Engineering will play a key role in fostering innovation, ensuring data compliance, and aligning analytics initiatives with business goals. They will drive More ❯

change. Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and … transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Role Overview A Data Engineering Consultant designs, implements, and optimizes scalable data pipelines and architectures. This role bridges raw data and actionable insights, ensuring robustness, performance, and data governance. Collaboration with analysts and scientists … is central to delivering high-quality solutions aligned with business objectives. Key Responsibilities Data Pipeline Development Architect, implement and maintain real-time and batch data pipelines to handle large datasets efficiently. Employ frameworks such as Apache Spark, Databricks, Snowflake or Airflow to automate ingestion, transformation, and delivery. Data Integration & Transformation Work with Data Analysts to understand More ❯

Job Description Job Title: Data Engineering Consultant Locations: London/Bristol/Manchester Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside … do and the impact we have with our clients and communities. 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 practices Define, document, and iterate data mappings based on data modelling concepts and principles Re … engineer data pipelines 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 More ❯

to your agency. Please note that unsolicited CVs or applications will not be considered, and we are unable to respond to individual inquiries regarding speculative submissions. Job Purpose: The Data Engineering Manager ensures PTSG has the platform on which to deliver on its ambition to be a data led business, providing cost effective, efficient and scalable capability … anticipating and delivering for future need in the context of the overall IT strategy. From a delivery perspective, the role will initially focus on transforming our existing data warehouse into a data and analytics platform based on GCP, identifying need and opportunity for better use and structure of data/dashboards and delivering that through the platform. … and client APIs and preparing the ground for future AI/ML need in the business. The key differentiator we are looking for is someone who can build a data engineering capability from the ground up and build a team to support the businesses strategic growth ambitions. Reporting to the Head of Data and Analytics, the role More ❯

employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD … and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and … other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory More ❯

Social network you want to login/join with: Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 1500 employees across … offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job More ❯

Role Overview: We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. In this role, you will lead the design, development, and maintenance of scalable data solutions in Microsoft Azure. You will work closely with cross-functional teams to transform complex data into actionable insights, driving business decisions and innovation. This … is a remote working position with only occasional visits to the office, which is based in Burton-on-Trent, Staffordshire. Key Responsibilities: Data Architecture and Design: Design, develop, and implement end-to-end data pipelines in Azure. Architect data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Ensure solutions are scalable, efficient, and … aligned with business objectives. ETL/ELT Processes: Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF). Develop data ingestion processes for structured and unstructured data sources. Data Modelling and Warehousing: Design and implement enterprise data models and data warehousing solutions. Optimize data models for performance and scalability in More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the … data strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics More ❯

At Dufrain , we don't just build data solutions-we shape the future of data-driven decision-making. Do you thrive on solving complex challenges and turning data into powerful insights that drive transformation? We're looking for Data Engineers who have a broad range of data engineering skills, with a focus on Microsoft … Databricks . Experience with Microsoft Fabric or Snowflake is also highly desirable. ABOUT THE ROLE As a Data Engineer, you will play a key role in delivering high-quality data solutions for our clients. This role offers the opportunity to work across a variety of technologies and contribute to the growth of our Consulting practice. ROLE RESPONSIBILITIES Develop … good working relationships with clients on a project, including interpersonal skills with both business and technical colleagues. Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment. Deliver high-quality work, escalate problems to clients or senior team members when necessary, and propose solutions. Support building the Consulting practice through contribution More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the … data strategy, enhancing platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics More ❯

At Dufrain , we don't just build data solutions-we shape the future of data-driven decision-making. Do you thrive on solving complex challenges and turning data into powerful insights that drive transformation? We're looking for Data Engineers who havea broad range of data engineering skills, with a focus on Microsoft Databricks. … Experience with Microsoft Fabric or Snowflake is also highly desirable. ABOUT THE ROLE As a Data Engineer, you will play a key role in delivering high-quality data solutions for our clients. This role offers the opportunity to work across a variety of technologies and contribute to the growth of our Consulting practice. ROLE RESPONSIBILITIES Develop good working … relationships with clients on a project including interpersonal skills with both business and technical focused colleagues. Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment. Delivering high-quality pieces of work, proven ability to escalate problems to client/senior team members where necessary and propose possible solutions. Support building More ❯

experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from 83data Location: London, UK – Hybrid (Liverpool Street office) Reports To: Head of Data Science Employment Type: Permanent A leading global payments and fintech platform , empowering clients to innovate and scale. Their mission is to create frictionless, secure, and intelligent payment solutions that … unlock value across banking, financial services, and digital assets. As they continue to scale their data infrastructure , they’re seeking a seasoned Principal Data Engineer to help design, build, and optimise a modern data platform, with a focus on orchestration (Airflow), scalable data warehouse architecture, and high-performance pipelines. The ideal candidate will bring both technical … depth and strategic thinking , with the ability to communicate effectively across business and technical teams. Key Responsibilities Design and lead the development of scalable, secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using More ❯

Job Description: The Data Domain Lead plays a critical role in ensuring effective management and governance of core data assets within a specific data domain (e.g., Finance, Supply Chain/Purchasing, Demand B2B, Demand B2C, R&D) and the associated roadmaps towards unlocking these in alignment with the analytics product development strategy and priorities. The role bridges … str ategy, operations, and governance, focusing on enabling the organization to extract value from data while maintaining compliance and quality standards. What will be your Key Responsibilities? Strategic Data Management Execute the vision, strategy, and roadmap for the assigned data domain in alignment with organizational goals. Collaborate with business and IT stakeholders to prioritize data initiatives … based on business value and strategic alignment. Anticipate the data needs of product squads to unlock faster speed to value and insight. Promote data as a strategic asset within the domain and across the organization. Adherence to Data Governance & Compliance standards Ensure adherence to data governance frameworks, policies, and standards. Ensure data quality management is More ❯

Place To Work. This prestigious award is based entirely on what current employees say about their experience working at Circana. Job description: We are seeking a skilled and motivated Data Engineer to join a growing global team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud … platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a desire to make a significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design … develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud Data Engineering: Manage and optimize cloud infrastructure (Azure) for data processing workloads, with a focus on More ❯

to support EQ’s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers. We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric … and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem. Your expertise will help us to improve our data infrastructure, improve data quality, and enable data-driven decision-making across the organization. Core Duties and Responsibilities Design, build, and maintain large-scale … data pipelines using Microsoft Fabric and Databricks Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness Develop and More ❯

employ over 10,000 people. Its big-scale stuff and we’re still growing. Job Purpose With a big investment into Databricks, and with a large amount of interesting data, this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced … organisation. You will join as a Senior Data Platform Engineer providing technical leadership to the Data Engineering team. You will work closely with our Data Scientists and business stakeholders to ensure value is delivered through our solutions. Job Accountabilities ·Develop robust, scalable data pipelines to serve the easyJet analyst and data science community. ·Highly … competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. ·Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. ·Coach and mentor the team (including contractors) to improve development standards. More ❯

P lease note: This is an apprenticeship position. Therefore, anyone with more than six months of professional experience working as a Data Engineer or who holds a degree or Master’s degree in a related subject (such as Data Scienceor similar) will not be eligible. You will also need to commit to completing a Level 5 Data Engineering Apprenticeship. Are you eager to combine paid work with study to earn a qualification? Do you want to join a strong team dedicated to revolutionising digital delivery while kickstarting your career in Data Engineering? This is a fantastic opportunity to join AND Digital as a Data Engineering Apprentice , where you’ll gain hands … on experience, be part of a supportive and forward-thinking team, and work towards a Level 5 Data Engineering qualification. You’ll learn on the job while applying your skills to real world challenges. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve More ❯

Location: Freemarket offers a hybrid working model. You should be able to attend the office in London Bridge when required, on average twice per week. Department: Data/Engineering Reports To: Head of Data Employment Type: Permanent, Full-Time About FreemarketFX Freemarket is a provider of digital solutions for FX and cross-border payment needs. Anchored by … success is driven by our commitment to core behaviours that shape how we work and deliver value. We take accountability , ensuring outcomes are met with urgency and transparency. Our data-driven approach blends rigorous analysis with intuition to guide sound decision-making. We encourage innovation by being curious learners , always seeking new knowledge, skills, and perspectives. We act as … step. These behaviours run through everything we do, enabling us to exceed expectations and support our clients' growth effectively. About the Role We are seeking a highly skilled Senior Data Engineer to design, implement, and maintain scalable, reliable, and high-performance data pipelines and architectures in a modern cloud environment. You will play a key role in building More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Net Talent CEO and founder of Net Talent and People TalentExecutive SearchIT, Data, AI, Digital and HR RecruiterTalent PartnerCIPD/Associate Location: Central belt Scotland - Hybrid 3 days on site We working exclusively on an exciting opportunity for a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business functions across the company. You’ll collaborate with engineers … product managers, and business stakeholders to architect performant, reliable, and long-term data solutions that are customer-centric and business-aligned. What You’ll Do: Design and build scalable, reliable, and high-performance data systems. Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures. Set technical direction and architectural More ❯

technology enables customers to easily personalise their creations to keep for themselves or share as the most thoughtful of gifts. About The Role: We are looking for a Senior Data Platform Engineerto join our London-based data team and help us build a platform that accelerates a decentralised-by-design data adoption model within the business. We … care about trustable, usable data and we want you to bring your technical expertise to make that happen. You're a software engineer at heart, you thrive in the data domain and care deeply about customer outcome-focused engineering excellence. Day to day, you will build observable, scalable and resilient data services that ingest data from source systems into consuming applications such as our data warehouse to meet the needs of analytics engineers and stakeholders. You will make significant contributions to solution designs, provide technical guidance to other team members and champion iterative approaches to software delivery. You will work within a cross-functional mission-led team, led by a product manager, an More ❯

they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our … reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About Apexon: Apexon is a digital-first technology services firm … they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our More ❯

ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on! The Team We’re Intuita – a fast-growing consultancy that’s making waves in both the consultancy and technology space. With our ambitious goals for … spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The Role We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind, immediate or quick availability … is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you’ll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models and AI solutions, leveraging cutting-edge technologies like Azure Machine Learning, AutoML, and … tools to manage model lifecycles. Leverage cloud platforms like Azure, AWS, and GCP for scalable ML model deployment. Employ frameworks like TensorFlow, PyTorch, and scikit-learn for model development. Data Engineering and Preparation Oversee data ingestion, cleaning, transformation, and feature engineering processes to ensure high-quality datasets. Work with large datasets and implement scalable data … processes and maintain a centralized repository. Establish and follow best practices in model versioning, reproducibility, and model governance. Qualifications Education Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Statistics, or a related field. Equivalent experience will be considered. Experience Minimum of 5 years in a data science or machine learning-focused role. Technical Skills Expertise More ❯