data pipeline engineer

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.
Primary Responsibilities:<ul><li>
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions</li><li>
Build, manage and deploy large scale ETL processes to generate data assets for the region</li><li>
Build modular and reusable code considering the configurability and scalability while adhering to low-level design</li><li>
Perform thorough unit testing of development tasks and document the test results using standard defined templates</li><li>
Build, schedule, and manage DAGs in Apache Airflow efficiently</li><li>
Monitor data processing tasks using Airflow</li><li>
Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline</li><li>
Utilize strong data analytics skills to identify, discuss, and promptly fix data issues</li><li>
Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations</li><li>
Collaborate and communicate with stakeholders for requirement understanding and clarifications</li><li>
Maintain the highest level of quality and detail-oriented approach in daily tasks</li></ul>
This is a hybrid position. This requires 3 days per week attendance in the London office
Qualifications
Basic Qualifications:<ul><li>
2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix</li><li>
Experience in writing and optimizing SQL queries in a big data environment</li><li>
Experience working in Linux/Unix environment and exposure to command line utilities</li><li>
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems</li><li>
Exposure to code version control systems (e.g. git, GitHub)</li><li>
Experience working with cloud services (e.g. AWS, GCP, Azure)</li><li>
Familiarity with common agentic coding tools</li><li>
Hands-on experience building GenAI-based applications or workloads</li><li>
Ability to understand a diverse set of business domains and requirements</li><li>
Good understanding of agile working practices and related program management skills</li><li>
Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows</li><li>
Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)</li><li>
Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels</li></ul>
Preferred Qualifications:<ul><li>
Advanced degree in technical field (e.g. Computer Science, statistics, etc.)</li><li>
Experience with visualization tools like Tableau and Power BI</li><li>
Exposure to Financial Services or the Payments Industry</li><li>
Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices</li></ul>
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data Engineer

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Job description
</h3></div></div><div></div><div><div><div><div>Job Title: AI Data Engineer (Azure)
Location: London Hybrid. Travel to the London office 2 days a week
Duration: 6 months
Contract Start Date: ASAP
Day rate: Competitive (Inside IR35) 
Deloitte
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. 
The Role
We are looking for a highly skilled AI Data Engineer (Contractor) specialising in Azure to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines strong AI/GenAI data pipeline expertise with hands-on Azure, data discovery and analysis. You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace. 
Deliverables: Responsibilities but not limited to:
1. Data Engineering &amp; Azure Platform Delivery 
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul>
2. Unstructured Data &amp; NoSQL Engineering<ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul>
3. Data Discovery, Analysis &amp; Business Engagement<ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. Collaboration &amp; Delivery<ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul> 
Essential Skills and Experience<ul><li><ul><li>
Proven experience as an Azure Data Engineer in end-to-end data platforms</li><li>
Exposure to AI/GenAI data pipelines (e.g. RAG, embeddings, search)</li><li>
Knowledge of Azure AI Search or vector-based retrieval systems</li><li>
Strong hands-on experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in Python and SQL</li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul> 
Desirable:<ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul> 
IR35
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology.
Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus
 
on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending,
 
customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. 
 
<div>Job responsibilities
 
<ul><li>Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the
</li></ul>latest technologies and the best industry practices
 
<ul><li>Use domain modelling techniques to allow us to build best in class business
</li></ul>products.
 
<ul><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural
</li></ul>patterns.
 
<ul><li>Develop secure code so that our customers and ourselves are protected from
</li></ul>malicious actors.
 
<ul><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep an eye on performance, making sure we use the right approach to identify
</li></ul>and solve problems.
 
<ul><li>Ensure our systems are reliable and easy to operate.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Support the products you've built through their entire lifecycle, including in
</li></ul>production and during incident management 
 
</div><div>Required qualifications, capabilities &amp; skills 
<ul><li>Formal training or certification on data engineering concepts and applied
</li></ul>experience
 
<ul><li>Recent hands-on professional experience as a data engineer
</li><li>Experience in coding in a recent version of the Python programming language
</li><li>Experience in designing and implementing effective tests (unit, component,
</li></ul>integration, end-to-end, performance, etc.)
 
<ul><li>Excellent written and verbal communication skills in English
</li><li>Experience with cloud technologies and distributed systems
</li><li>Experience with data transformation frameworks and data pipeline orchestration
</li></ul>tools
 
<ul><li>Experience with managing large volumes of data and optimizing data processing
</li><li>Understanding of event-base architecture, data streaming and messaging
</li></ul>frameworks
 
<ul><li>Coach other team members on coding practices, design principles, and
</li></ul>implementation patterns that lead to high-quality maintainable solutions.
 
<ul><li>Manage stakeholders and effectively prioritize work across multiple work
</li></ul>streams. 
 
</div><div>Preferred qualifications, capabilities &amp; skills
 
<ul><li>Experience in working in a highly regulated environment / industry
</li><li>Experience with AWS cloud technologies
</li><li>Experience with data governance frameworks
</li><li>Understanding of incremental data processing and versioning
</li><li>Understanding of RESTful APIs and web technologies 
</li></ul></div>#ICBEngineering #ICBCareers
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Data Engineer — International Consumer Bank (Chase UK)

Collective.work

<div>
 Context
 
 
 
 Collective.work
 
 is building the next-generation AI-powered sourcing platform for recruiters. Our mission is to help talent teams identify, engage, and hire the best candidates faster through intelligent automation and data-driven insights. We operate at the intersection of data, AI, and recruiting workflows&mdash;where high-quality data infrastructure is critical to our success.
 
 
 Missions
 
 
 <ul>
 <li>
 Design and maintain scalable data pipelines (batch and real-time)
 </li>
 <li>
 Build and optimize ETL/ELT workflows across Azure and/or GCP
 </li>
 <li>
 Develop data models and architectures to support analytics and ML use cases
 </li>
 <li>
 Ensure data quality, integrity, and reliability across systems
 </li>
 <li>
 Collaborate with ML engineers to prepare and serve training datasets
 </li>
 <li>
 Monitor and improve pipeline performance, cost efficiency, and scalability
 </li>
 <li>
 Implement best practices for data governance, security, and compliance
 </li>
 <li>
 Contribute to tooling and infrastructure decisions
 
 
 </li>
 </ul>
 Tools &amp; Environment
 
 
 <ul>
 <li>
 Cloud: Azure (Data Factory, Synapse) and/or GCP (BigQuery, Dataflow)
 </li>
 <li>
 Data Processing: Python, SQL, Spark
 </li>
 <li>
 Orchestration: Airflow / Prefect
 </li>
 <li>
 Storage: Data lakes, warehouses
 </li>
 <li>
 Streaming: Kafka / PubSub (nice to have)
 </li>
 <li>
 DevOps: Docker, CI/CD
 
 
 </li>
 </ul>
 Working Conditions
 
 
 <ul>
 <li>
 Flexible remote work environment
 </li>
 <li>
 Opportunity to work on a product at the cutting edge of AI and recruiting
 </li>
 <li>
 High ownership and impact from day one
 </li>
 <li>
 Collaborative, product-driven engineering culture
 </li>
 <li>
 Opportunity to shape the data foundation of a growing platform
 
 
 </li>
 </ul>
</div>

Data Engineer - Permanent

Quantum

<div>Our Company 
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world&rsquo;s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We&rsquo;ve helped ambitious brands grow faster, smarter, and globally.<h2 class="jobSectionHeader">
The Role</h2>
As a Data Engineering Graduate, you'll be an integral part of our Data Engineering team. From day one, you'll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for someone who likes building things that last and wants to learn how reliable data infrastructure is designed, built and maintained at scale.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Pipeline development: you'll help build and maintain the data pipelines that ingest, clean and move data across our systems, learning how reliable data flows are engineered</li><li>
Data integration: you'll support the onboarding of new data sources, writing and testing the logic that brings partner data into our platform cleanly and consistently</li><li>
Transformation and modelling: you'll apply transformations that turn raw data into structured, trustworthy datasets the wider business can use</li><li>
Monitoring and reliability: you'll help keep our ingestion pipelines running, flagging issues early and learning how we maintain the integrity of our data operations</li><li>
Quality assurance: whether it's checking for anomalies or validating schemas and formats, your attention to detail will keep our data trustworthy and actionable</li><li>
Automation and process improvement: you'll help identify and implement ways to streamline and scale our data processes, bringing more automation, speed and accuracy to the team</li><li>
Documentation: you'll capture and update data rules, pipeline logic and key processes to support operational clarity and team knowledge sharing</li><li>
You'll use your natural curiosity to stay up to date with engineering practices and tools, contributing fresh ideas to the team</li></ul><h2 class="jobSectionHeader">
About You</h2><ul><li>
Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)</li><li>
Some exposure to coding, ideally Python or SQL, through your studies, projects or self-teaching, with a genuine eagerness to deepen it</li><li>
A keen eye for detail and a passion for getting data right, because small errors can make a big difference downstream</li><li>
Comfortable picking up new tools, platforms and technical concepts quickly</li><li>
Proactive and inquisitive, happy to ask questions and figure things out</li><li>
Organised and methodical in how you approach tasks and documentation</li><li>
You thrive when working as part of a team</li><li>
Comfortable in a fast-paced environment</li><li>
Have excellent written and verbal English skills</li><li>
Last but not least, you'll have no ego!</li></ul>
What You&rsquo;ll Get<ul><li>
Private Health Care (Bupa)</li><li>
Hybrid Working (3 days in office)</li><li>
Travel Insurance</li><li>
Competitive Base Salary</li><li>
Company Bonus Scheme</li><li>
Paid for AI Subscription (Claude / ChatGPT / Gemini)</li><li>
Market-Leading Training Programme</li><li>
Recognition &amp; Reward Scheme</li><li>
Annual Company Conference
</li><li>Regular Happy Hours &amp; Team Lunches</li><li>
Free Coffee, Drinks &amp; Snacks</li></ul>
What&rsquo;s the next step? 
 
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. 
 
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.</div>

Graduate Data Engineer

Athsai

<div>
 
 **Employment Type:** Permanent
 
 
 **Salary:** Up to &pound;75k
 
 
 **Location:**
 
 
 in the Central London
 
 
 
 
 
 **Work Arrangement:** In-office only, five days a week.
 
 
 
 ---
 
 
 
 
 
 **Job Title:** Data Engineer
 
 
 
 
 
 **Experience Required:** 8 Years
 
 
 
 
 
 **Role Overview:**
 
 
 
 
 
 We are seeking a Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs.
 
 
 
 
 
 **Key Responsibilities:**
 
 
 
 
 
 - Design and implement robust real-time data pipelines from diverse sources.
 
 
 - Maintain a high-performance data warehouse for reporting and analytics.
 
 
 - Develop insightful Power BI dashboards and reports for stakeholders.
 
 
 - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration.
 
 
 - Employ Python and SQL for data transformation and analysis.
 
 
 - Leverage OpenAI APIs for AI/ML solutions.
 
 
 - Collaborate with teams to align data strategy with business goals.
 
 
 - Ensure data quality, consistency, and compliance.
 
 
 
 
 
 **Required Qualifications:**
 
 
 
 
 
 - 7-8 years in Data Engineering, Data Architecture, or related roles.
 
 
 - Experience with ETL/ELT pipelines and complex data ecosystems.
 
 
 - Proficiency in Python and strong SQL skills.
 
 
 - Familiarity wit
 
 h Azure services (Data Factory, Logic Apps, etc.).
 
 
 
 - Expertise in Power BI for data modeling and visualization.
 
 
 - Experience with OpenAI APIs or similar services.
 
 
 - Understanding of data warehousing and data governance.
 
 
 
 
 
 **Preferred Qualifications:**
 
 
 
 
 
 - Knowledge of DevOps practices and CI/CD pipelines.
 
 
 - Familiarity with cloud-native data platforms (e.g., Databricks).
 
 
 - Understanding of data privacy regulations (e.g., GDPR).
 
</div>

Data Engineer - Azure/ADF

Nomia Ltd

<div>
 
 
 About the Role
 
 
 
 
 
 
 As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and implement data pipelines for cleaning and enriching data
 </li>
 <li>
 Be responsible for the data lake
 </li>
 <li>
 Find and curate third-party datasets
 </li>
 <li>
 Prepare data for use in experiments
 </li>
 <li>
 Design and maintain notebooks to measure the quality and completeness of data
 </li>
 <li>
 Understand real-world use cases and translate them into actionable plans
 </li>
 <li>
 Conduct experiments to validate design choices or theories
 </li>
 <li>
 Create, manage, monitor, and maintain data models
 </li>
 <li>
 Design and implement ETL processes
 </li>
 <li>
 Document all aspects of your work
 </li>
 <li>
 Stay abreast of advancements in data engineering and research new software and techniques
 </li>
 <li>
 Participate in code reviews, technical discussions, and cross-functional meetings
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 3+ years' experience in data engineering
 </li>
 <li>
 Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
 </li>
 <li>
 Demonstrable experience designing and implementing ETL pipelines
 </li>
 <li>
 Proficient in PostgreSQL and T-SQL
 </li>
 <li>
 Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
 </li>
 <li>
 Proficient in the use of Python notebooks
 </li>
 <li>
 Experience with event-driven architecture
 </li>
 <li>
 Familiarity with LLMs and prompt engineering
 </li>
 <li>
 Proficient in writing clean, maintainable code and well-documented data pipelines
 </li>
 <li>
 Wide knowledge of different database types and designs
 </li>
 <li>
 Familiarity with data modelling techniques
 </li>
 <li>
 Genuine enthusiasm for learning new ideas and techniques
 </li>
 </ul>
 
 
 
 
 
 General
 
 
 <ul>
 <li>
 Ensure compliance with Nomia's data protection and information security policies
 </li>
 <li>
 Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs
 </li>
 <li>
 Promote inclusivity, innovation, and ethical use of AI across the organisation
 </li>
 <li>
 Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
 </li>
 </ul>
 
 
 
</div>

Explore 370+ Data pipeline engineer in London this July. Find roles across top companies and apply now to boost your career.

370 data pipeline engineer jobs In London

Data Engineer

Contract - AI Data Engineer (Azure)

Lead Data Engineer — International Consumer Bank (Chase UK)

Data Engineer - Permanent

Graduate Data Engineer

Data Engineer - Azure/ADF

Data Engineer