big data 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

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

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>

NOMIA

<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>

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Carnall Farrar

<div>About us
We are a leading consultancy with a purpose to make an enduring impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, drive adoption of innovation and create value through investment.
Our consultancy serves the entire healthcare sector, from payors and providers of care, to life science companies, health tech and sector suppliers and health investors. We provide end-to-end services, from strategy through implementation, accelerated by data, digital and AI.
We shape opinion through evidence-based thought leadership on key issues affecting health. With unmatched ability to access and use health data, our consultants are a driving force for delivering positive and meaningful change.
About the role
The Data Engineer sits within the Data Innovation team and works day-to-day on the CF lakehouse, our Databricks platform that holds the routine healthcare data behind our analytical and product work. The role is hands-on and delivery-focused: writing SQL and Python, building and maintaining automated pipelines, and turning raw data into structured, production-ready material that consultants and clients can rely on.
CF runs an apprentice model of development. You will learn actively from senior engineers, contribute to the team&rsquo;s collective knowledge, and take on greater scope as you grow. The work spans data cleansing and validation for client engagements, building and maintaining pipelines, and contributing to CF&rsquo;s technical products, including through hackathons.
This is a good fit for an engineer with a couple of years of experience who wants to build a broad technical foundation in a data-rich healthcare consultancy, work close to real client problems, and see how technical work turns into client value.
Responsibilities
The requirements, responsibilities and duties of the role will include, but are not limited to:
Engineering and delivery<ul><li>
Build and maintain automated data pipelines using PySpark and Spark, with appropriate monitoring</li><li>
Build data models and pipelines under the guidance of senior colleagues, producing production-ready code or client-ready material</li><li>
Develop data quality, validation and consistency checks, and carry out data cleansing</li><li>
Develop unit, functional and integration tests, and follow the team&rsquo;s Git and GitHub workflow</li><li>
Participate in agile ways of working: keep user stories and tasks up to date, and contribute to stand-ups, retros and show and tells</li><li>
Flag early when work is deviating from plan, and help identify and deliver mitigations</li></ul>
Domain, clients and collaboration<ul><li>
Build an understanding of healthcare data and the CF lakehouse: what is collected, how it is structured, and how new sources are brought in</li><li>
Work with teams to bring analytical insights to client problems</li><li>
Communicate technical solutions to non-technical colleagues, and give and receive feedback well</li></ul>
Learning and contribution<ul><li>
Learn best-practice development processes from senior colleagues, and seek out new tools and techniques to apply</li><li>
Use AI tools to improve code quality and efficiency</li><li>
Support business development and bid writing on technical detail, and contribute to product development through hackathons and thought leadership</li></ul> 

Requirements 
The requirements of the role include:<ul><li><ul><li>
Around 2 to 3 years of experience in a data engineering or comparable technical data role</li></ul></li><li><ul><li>
Working SQL, used day-to-day on the lakehouse</li></ul></li><li><ul><li>
Intermediate Python for data transformation and automation</li></ul></li><li><ul><li>
Experience building automated data pipelines using PySpark or Spark, with appropriate monitoring</li></ul></li><li><ul><li>
Ability to write unit, functional and integration tests</li></ul></li><li><ul><li>
Comfort working to a Git and GitHub workflow</li></ul></li><li><ul><li>
Curiosity about healthcare data and how it relates to care delivery and policy</li></ul></li><li><ul><li>
A clear communicator who knows when to ask for support and works well in a team</li></ul></li></ul>
Desirable, and not expected on day one:<ul><li><ul><li>
Databricks lakehouse experience: notebooks, Workflows and Jobs, Delta Lake</li></ul></li><li><ul><li>
Unity Catalog basics (we will train)</li></ul></li><li><ul><li>
Awareness of cloud basics such as storage and access control, and of medallion structure, bronze to silver to gold</li></ul></li><li><ul><li>
Exposure to dbt and basic dimensional modelling</li></ul></li></ul> 
Flexible working
We follow a hybrid working model that balances in person connections and remote work to drive exceptional client impact. We enjoy working in person together with clients and colleagues and work where clients need us to be.
In supporting flexibility and remote working, team members can work from home one day per week as standard. Additionally, we offer 44 remote working days per year which can be used to top up your working from home days and enable you to work from home up to two days per week-subject to client needs. Alternatively, you could use your allowance in blocks to manage school holidays or other commitments. Our core in person working hours are from 10am until 4pm allowing you that extra flexibility to manage your schedule in a way that works for you.
Our commitment to Diversity &amp; Inclusion
We are committed to building an inclusive and supportive culture where diversity thrives, and all our people can excel. We only recruit, promote and reward our people based on their skills and contribution, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age, marital status, or other characteristics.
We are Disability Confident Accredited, and we want you to feel comfortable and able to perform at your best in the recruitment process. If you require any reasonable adjustments for any part of the recruitment process, please let us know. 
Benefits 
<ul><li>
Holiday entitlement: 25 days/year for staff and 30 days/year for leadership, increasing by 1 day for every year of service up to a maximum of 35 days of holiday per year</li><li>
We contribute 7% of your salary into your pension, while you contribute 3% (or more if you like)</li><li>
Access to a flexible benefits programme giving you the chance to increase pension contributions, gain access to a cash plan or benefit from a ClassPass subscription</li><li>
Annual leave purchase: employees with less than 35 days annual leave entitlement are able to purchase additional annual leave days</li><li>
Income protection: in the event of long-term incapacity and a qualifying claim, 75% of salary will be paid</li><li>
Enhanced sick pay benefit beyond Statutory Sick Pay for up to a total 12 weeks in any 12-month period</li><li>
Life insurance covering four times your basic salary in a tax-free lump sum payable to your beneficiaries in the event of your death whilst in service</li><li>
Enhanced family leave policies: additional pay for parents who have a baby or adopt</li><li>
Access to an interest-free loan of up to &pound;10,000</li><li>
Access to an interest-free season ticket loan, repayable by 12 monthly instalments</li><li>
Workplace nursery scheme: access to a scheme to help working parents save tax and NI on the cost of the nursery care</li><li>
Flexible working policy: including the ability to work from home up to two days per week, with 44 remote working days per year</li><li>
An employee assistance and wellness programme: including access to telephone counselling, life coaching, interactive tools online and digital content downloadable from Lifeworks</li><li>
Seasonal flu jabs: provided by Boots annually</li><li>
Eye care tests: vouchers and discounts at Vision Express</li><li>
Ride to work scheme, saving up to 42% on bikes and cycling accessories at Evans Cycles</li><li>
Membership to the Health Service Journal (HSJ)</li></ul></div>

NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; Security 
</li></ul>Business Relationships:
<ul><li>Solution Architects
</li><li>Data Engineers, Developers, ML Engineers and Analysts
</li><li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
</li></ul>Competencies / Critical Skills: 

<ul><li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
</li><li>Strong consulting values with ability to collaborate effectively in client-facing environments.
</li><li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
</li><li>Strong problem-solving, analytical, and communication skills.
</li><li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. 
</li></ul>Technical Expertise:
<ul><li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
</li><li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
</li><li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP).
</li><li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
</li><li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
</li><li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
</li><li>Understanding of data governance, security, and compliance frameworks.
</li><li>Exposure to AI/ML workloads desirable. 
</li></ul>Experience, Qualifications, and Education:
<ul><li>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
</li><li>Education: University degree required.
</li><li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
</li><li>Snowflake certifications (SnowPro Core, Advanced) highly desirable. 
</li></ul>Measures of Success:
<ul><li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
</li><li>High client satisfaction and successful adoption of Snowflake-based solutions.
</li><li>Demonstrated ability to innovate and improve data engineering practices.
</li><li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
</li></ul>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. 
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</div>

Snowflake Data Engineer

Explore 368+ Big data engineer in London this July. Find roles across top companies and apply now to boost your career.

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