data engineer

software engineer

ai engineer

data scientist

machine learning engineer

data warehouse engineer

<div>Role description 
Job Title: Senior Snowflake Engineer

Location: [London/ UK &ndash; Hybrid, 3 days work from client office]

Employment Type: [Permanent/FTC / Contract inside IR35]

 Immediate Candidates preferred

Applicants must be legally authorized to work in the United Kingdom without the need for current or future visa sponsorship 

Job Summary:
We are seeking a skilled Senior Snowflake Engineer to join our client's Platform Engineering 
team. As the Senior Snowflake Engineer, you will lead the architecture, design, and implementation of Snowflake for various domain teams in a multi-tenant environment. You will ensure that the platform meets the needs of multiple teams while maintaining high levels of performance, reliability, and security. 
 
Responsibilities: 
 
As a Senior Snowflake Engineer, you will:
<ul>
<li>Play a key role in modernizing an enterprise data function following a decentralized approach 
breaking silos.</li>
<li>Work closely with domain teams to understand their needs and translate them into technology solutions.</li>
<li>Provide expertise as a technical resource to solve complex business issues that translate into 
data integration and database systems designs.</li>
<li>Problem-solve to resolve issues and remove barriers throughout the lifecycle of domain team 
engagements.</li>
<li>Ensure all deliverables are of high quality by setting development standards, adhering to the 
standards, and participating in code reviews.</li>
<li>Participate in integrated validation and analysis sessions of components and subsystems on 
production servers.</li>
<li>Mentor, support, and manage team members.</li>
<li>Create runtime tools/processes that optimize cloud triaging and limit downtime.</li>
<li>Define best practices around making our systems and services measurable.</li>
<li>Participate in on-call rotation and ensure uptime of services.</li>
<li>Introduce tools to facilitate greater automation and operability of services.</li> 
</ul>
Our Ideal Senior Snowflake Engineer will have:
<div>
<ul><li>Experience in the implementation, execution, and maintenance of Data Integration technology solutions.</li></ul>
<ul><li>Experience advancing and supporting information management practices within business 
processes, applications, and technology that underpin the data discipline (e.g. establishing data quality processes, performing data analysis, participating in technology implementation 
planning, implementing data integration processes, etc.).</li></ul>
<ul><li>Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures, 
and standard DWH and ETL concepts.</li></ul>
<ul><li>Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual 
warehouse, query performance tuning, Zero copy clone, time travel, and understanding how to use these features.</li></ul>
<ul><li>Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.</li></ul>
<ul><li>Experience with enterprise cloud economics.</li></ul>
<ul><li>Experience in enterprise data management concepts (Data Governance, Data Engineering, DataScience, Data Sharing, Data Applications).</li></ul>
<ul><li>Hands-on expertise with SQL and SQL analytics.</li></ul>
<ul><li>Industry benchmarking experience in major industries such as Financial Services and Retail.</li></ul>
<ul><li>Experience with DevOps tools like Azure DevOps (ADO), GitHub, and Octopus Deploy.</li></ul>
<ul><li>Experience building solution using DBT, Python and Snowpark.</li></ul>
<ul><li>Good knowledge of distributed systems, APIs, cloud computing patterns.</li></ul>
<ul><li>Ability to debug, troubleshoot, and resolve complex technical issues.</li></ul>
<ul><li>Self-driven and motivated, with a strong work ethic and a passion for problem-solving.</li></ul>
</div>
If you are interested, please apply for an immediate discussion with Talent team 

#UST 
Skills 
snowflake,snowpipe,rbac,elt, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Senior Snowflake Engineer (Lead I - Data Engineering)

Medpace

<div>Job Summary :
<div>
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will work on a team to accomplish tasks and projects that are instrumental to the company&rsquo;s success. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.</div>
Responsibilities :
<ul><li>Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL);</li><li>
Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS);</li><li>
Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI;</li><li>
Collect, analyze and document user requirements;</li><li>
Participate in software validation process through development, review, and/or execution of test plan/cases/scripts;</li><li>
Create software applications by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;</li><li>
Communicate with team members regarding projects, development, tools, and procedures; and</li><li>
Provide end-user support including setup, installation, and maintenance for applications</li></ul>
Qualifications :
<ul><li>Bachelor's Degree in Computer Science, Data Science, or a related field;</li><li>
3+ years of experience in Data Engineering;</li><li>
Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs;</li><li>
Solid ETL development, reporting knowledge based off intricate understanding of business process and measures;</li><li>
Knowledge of Snowflake cloud data warehouse, Fivetran data integration and dbt transformations is preferred;</li><li>
Knowledge of Python is preferred;</li><li>
Knowledge of REST API;</li><li>
Basic knowledge of SQL Server databases is required;</li><li>
Knowledge of C#, Azure development is a bonus; and</li><li>
Excellent analytical, written and oral communication skills.</li></ul>
Medpace Overview :
<div>
Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 6,000 people across 40+ countries.</div>
Why Medpace? :
<div>
People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today.</div><div></div><div> 
The work we&rsquo;ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future.</div><div></div> 
Medpace Perks<ul><li>
Flexible work environment</li><li>
Competitive compensation and benefits package</li><li>
Competitive PTO packages</li><li>
Structured career paths with opportunities for professional growth</li><li>
Company-sponsored employee appreciation events
</li><li>Employee health and wellness initiatives</li></ul><div>
Awards</div><ul><li>
Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024</li><li>
Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility</li></ul><div></div><div> 
What to Expect Next</div><div>
A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.</div></div>

Data Engineer

Monzo

<div>
 
 
 🚀 We&rsquo;re on a mission to make money work for everyone.
 
 
 
 
 We&rsquo;re waving goodbye to the complicated and confusing ways of traditional banking.
 
 
 After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
 
 
 With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
 
 
 We&rsquo;re not about selling products - we want to solve problems and change lives through Monzo ❤️
 
 
 📍London, Cardiff or Remote in the (UK) 💰 &pound;97,800 -125,000 ➕ Incentive Awards tied to your performance and Benefits | Hear from the team ✨
 
 
 
 Our Team
 
 
 
 Our Mission in Operations is to deliver an effortless experience for everyone - helping Monzo deliver on its mission of making money work for everyone.
 
 
 Data is crucial to the success of this mission and Operations Analytics Engineers are at the core of how we build, scale and re-architect our Operations Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo&rsquo;s customers better.
 
 
 We're looking for a Lead Analytics Engineer within our Operations team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new markets and working with partners internally and externally to ensure we can design and build a first class system to meet our customers&rsquo; needs.
 
 
 At Monzo, we're building a bank that is fair, transparent and a delight to use. We&rsquo;re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We&rsquo;ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
 
 
 This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world class efficient service for all of Monzos customers, as we lay the foundations to build a best in class analytics function. You&rsquo;ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.
 
 
 We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business.
 
 
 
 Your Day-to-day
 
 
 
 Your responsibilities as a Lead Analytics Engineer will include :
 
 
 <ul>
 <li>
 Serving as a data architect for Monzo&rsquo;s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite.
 </li>
 <li>
 Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
 </li>
 <li>
 Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers)
 </li>
 <li>
 Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
 </li>
 <li>
 Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
 </li>
 <li>
 Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
 </li>
 <li>
 Being a key technical leader who&rsquo;s able to champion central platform initiatives that aim to elevate the data standards across Operations and beyond.
 </li>
 <li>
 We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role.
 
 
 </li>
 </ul>
 
 Locations &amp; flexible working:
 
 
 
 Our main tech hub is in London, but our data teams are based all over the UK.
 
 
 We love meeting in person, but there&rsquo;s no pressure to come into the office, even if you&rsquo;re nearby. You&rsquo;ll do your best work where you feel most comfortable.
 
 
 We value flexibility, connection, and wellbeing. You&rsquo;ll have the freedom to work in a way that fits your life, whether that&rsquo;s school drop-offs, avoiding rush hour, or making time for what matters most.
 
 
 Work the way that works for you at Monzo! 💼
 
 
 
 You Should Apply If
 
 
 
 <ul>
 <li>
 You have a strong passion for data modelling, ETL projects, and Big Data.
 </li>
 <li>
 You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
 </li>
 <li>
 SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
 </li>
 <li>
 You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
 </li>
 <li>
 You have experience building robust and reliable data sets that require a high level of control.
 </li>
 <li>
 You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
 </li>
 <li>
 You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
 </li>
 <li>
 You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
 </li>
 <li>
 You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
 </li>
 <li>
 You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan&rsquo;s deliverables.
 </li>
 <li>
 You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations and Analytics Engineering.
 </li>
 <li>
 Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.
 
 
 </li>
 </ul>
 
 Interview process
 
 
 
 
 Our Typical Process Is Structured As
 
 
 
 <ul>
 <li>
 Recruiter call
 </li>
 <li>
 Initial call
 </li>
 <li>
 Technical task
 </li>
 <li>
 3 x 1 hours sessions (final interview)
 
 
 </li>
 </ul>
 Our average process takes around 3-4 weeks but we will always work around your availability.
 
 
 
 What&rsquo;s In It For You
 
 
 
 💰 &pound;97,800-&pound;125,000 base
 
 
 ✈️ We can help you relocate to the UK
 
 
 ✅ We can sponsor visas
 
 
 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
 
 
 ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
 
 
 📚 Learning budget of &pound;1,000 a year for books, training courses and conferences
 
 
 ➕ And much more, see our full list of benefits
 
 here
 
 
 
 
 Equal opportunities for everyone
 
 
 
 Diversity and inclusion are a priority for us and we&rsquo;re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we&rsquo;re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
 
 
 We&rsquo;re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
 
 
 If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
 
 
</div>

Lead Analytics Engineer

UK EXPORT FINANCE

Senior 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

Few&Far

<div>
 
 🚨
 
 Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
 
 🚨
 
 
 
 
 
 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 
 
 
 
 
 💰
 
 Up to &pound;525 per day
 
 
 
 📍
 
 London - 1 day per week onsite
 
 
 
 📄
 
 Outside IR35
 
 
 
 ⚡
 
 1-stage interview process
 
 
 
 
 
 
 This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 
 
 
 
 
 You'll be working on:
 
 
 ✅ Modernising data lake &amp; data warehouse architecture
 
 
 ✅ Designing, building and optimising ETL/ELT pipelines
 
 
 ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 
 
 ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 
 
 ✅ Writing high-performance SQL and production-quality Python
 
 
 ✅ Improving platform reliability, monitoring and CI/CD
 
 
 ✅ Collaborating with stakeholders to deliver scalable data solutions
 
 
 ✅ Mentoring junior engineers through code reviews and best practices
 
 
 
 
 
 
 Tech Stack:
 
 
 
 ☁️ AWS
 
 
 🐍 Python
 
 
 🗄️ SQL
 
 
 🔄 Airflow (AWS)
 
 
 📊 Looker (nice to have)
 
 
 
 
 
 I'm keen to speak with Data Engineers who have:
 
 
 ✔️ Strong experience building production-grade data pipelines
 
 
 ✔️ Advanced SQL and Python skills
 
 
 ✔️ Experience deploying and supporting ML models in production
 
 
 ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 
 
 
 
 
 If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 
</div>

Morgan Stanley

<div>We're seeking someone to join our Investment Banking &amp; Global Capital Markets Technology team as a Vice President in the Advisory Sales &amp; Distribution Super Department to build innovation solutions to support the complex and evolving needs of our businesses in Institutional Securities Group.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. 
 
This is a Lead Data &amp; Analytics Engineering position at VP Level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
What you'll do in the role:
<ul><li>Build out data platform using Snowflake DBaaS platform to enable the business to gain insights across multiple datasets around Client Coverage.
</li><li>Drive the data warehousing architecture &amp; transformation from raw data to published layer for use by development teams and business users.
</li><li>Integrate both internal Client / Deals / CRM / Revenue / AUM / Expenses data and external market data from S&amp;P / LSEG / Equilar / Pitchbook and other vendors to enrich and power next best actions around our clients and contacts.
</li><li>Collaborate with business product owners, software development engineers and data engineering professionals.
</li><li>Communicate progress, challenges, and milestones to senior leadership.
</li><li>Collaborate with stakeholders to prioritize projects and allocate resources effectively.
</li><li>Provide strategic direction for data engineering initiatives and roadmap.
</li><li>Develop and oversee the data engineering budget and resource planning.
</li><li>Ensure compliance with data security, privacy, and regulatory requirements.
</li><li>Foster a collaborative and inclusive team environment to drive innovation and high performance.
</li></ul>What you'll bring to the role:
<ul><li>Proven track record of designing and implementing complex data solutions using the Snowflake DBaaS platform including schema creation, data sharing, row &amp; column level security / masking.
</li><li>Strong SQL query and data modelling skills.
</li><li>Experience with designing and building data warehouses for business intelligence.
</li><li>Experience data ingestion pipelines and Snowflake dynamic tables.
</li><li>Strong data &amp; software development skills with Python, Git and SDLC lifecycle.
</li><li>Proven ability to oversee end-to-end data processes from ingestion to consumption.
</li><li>Strong background in data governance, metadata management, and data lineage.
</li><li>Demonstrated success in aligning data strategies with business objectives.
</li><li>Excellent leadership and decision-making skills to drive business outcomes.
</li><li>Effective communication with stakeholders to define project requirements and priorities.
</li><li>Ability to use tools like Microsoft Power BI / Jupyter Notebooks to rapidly prototype new concepts.
</li><li>At least 8 years' relevant experience would generally be expected to find the skills required for this role.
</li></ul>#LI-FT1 
 
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Certified Persons Regulatory Requirements:
 
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
 
 
Flexible work statement
 
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
 
 
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .</div>

Lead Data Warehousing Engineer

Explore 1052+ Data warehouse engineer in London this July. Find roles across top companies and apply now to boost your career.

1052 data warehouse engineer jobs In London

Senior Snowflake Engineer (Lead I - Data Engineering)

Data Engineer

Lead Analytics Engineer

Senior Data Engineer

Data Engineer - Azure/ADF

Senior Data Engineer

Lead Data Warehousing Engineer