data warehouse developer

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

<div>Role description 


Job Title: Power BI Engineer - Wealth/ Asset management/Finance industry exp

Location: London

Hybrid working model with 3 days onsite mandatory

Immediate start

Fixed term contract/ Contract inside IR35 only until 31st Dec 2026 with possible extensions

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

 Overview

We are seeking an experienced Power BI Engineer to support our client's Wealth team. This is a critical hire to ensure continuity of reporting deliverables ahead of key deadlines.

Key Responsibilities
<ul>
<li>Design, develop, and maintain Power BI dashboards and reports for finance/wealth stakeholders</li>
<li>Translate business requirements into data models and visual insights</li>
<li>Support data validation, quality checks, and performance optimisation</li>
<li>Manage and enhance existing reporting solutions during transition period</li>
</ul>
Must Have
<ul>
<li>Strong experience with Power BI (development, DAX, data modelling)</li>
<li>Proven experience in Finance domain</li>
<li>Ability to deliver under tight deadlines and fast-paced environments</li>
<li>Experience working with stakeholders and translating business needs into reports</li>
<li>Solid understanding of data integration and reporting best practices</li>
</ul>
Nice to Have
<ul>
<li>Experience with SQL / data warehousing</li>
<li>Knowledge of Azure data tools (e.g., Azure SQL, Data Factory, Synapse)</li>
<li>Familiarity with agile delivery environments</li>
</ul>
If interested, please apply with your updated CV for an immediate discussiion

#UST 
Skills 
Power BI,SQL,Finance management,Business intelligence, 
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>

Power BI Engineer - Wealth/ Finance industry exp (Developer III - Software Engineering)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact. 
As a Lead Engineer at JPMorgan Chase within our Market Data Services team you will play a pivotal role in designing, delivering and maintaining critical data distribution systems within the firm. These systems encompass both on-premises and cloud based infrastructure to deliver third party data to multiple lines of business.
 
You will be working within an Agile project environment collaborating closely with cross-functional teams to deliver high-quality solutions to our clients.
Job Responsibilities<ul><li>
Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions</li><li>
Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.</li><li>
Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases</li><li>
Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements</li><li>
Capable of finding a balance between best of breed and cost effective solutions</li><li>
Act as a positive team player who is capable of accepting different intellectual points of view
</li><li>Clear and concise communicator; ability to present to senior management</li><li>
Ability to analyze and articulate problems and provide input into solutions</li><li>
Provide 3rd level support to operational roles
</li><li>A respect for strong process and control management disciplines</li><li>
Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.</li></ul>
Required qualifications, capabilities, and skills 
<ul><li>Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS
</li><li>Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)</li><li>
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.</li><li>
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations</li><li>
Network architecture and protocols
</li><li>Programming languages (e.g. Java, Python, C++)</li><li>
Market Data / messaging products (e.g. TREP, Vela, RedLine, Bloomberg BPIPE, Solace, AMPS, etc.)</li><li>
Market Data vendors and their key products (e.g. Bloomberg, LSEG, Factset, S&amp;P)</li><li>
Database technologies and SQL scripting</li><li>
Monitoring tools (ITRS Geneos, Dynatrace, Datadog)
 
</li></ul>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
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake

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

Client Server

<div>
 
 
 
 Software Engineer / Developer (Python SQL) London to &pound;150k+
 
 
 
 
 
 
 
 Are you a data savvy Software Engineer with strong Python coding skills?
 
 
 
 
 
 You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 
 
 
 
 
 As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
 
 
 
 
 
 
 Your role:
 
 
 <ul>
 <li>
 Design and build data platform components using Python
 </li>
 <li>
 Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
 </li>
 <li>
 Improve infrastructure, observability and CI/CD practices
 </li>
 <li>
 Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
 </li>
 <li>
 Support platform operations, ensuring reliability and performance
 </li>
 </ul>
 
 
 
 
 
 Location / WFH:
 
 
 
 You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong backend development experience with Python
 </li>
 <li>
 You have experience of working with financial or market data
 </li>
 <li>
 You have experience of designing and operating data-intensive and distributed systems
 </li>
 <li>
 You have a strong knowledge of databases (Relational, NoSQL and Columnar)
 </li>
 <li>
 You're keen to take ownership and work across the full development lifecycle
 </li>
 <li>
 You're collaborative and pragmatic with strong stakeholder management skills
 </li>
 <li>
 You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 
 As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
 
 <ul>
 <li>
 Salary to &pound;150k
 </li>
 <li>
 Bonus
 </li>
 <li>
 Pension
 </li>
 <li>
 Self development and career progression opportunities
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Software Engineer / Developer (Python SQL) opportunity.
 
</div>

Software Engineer Python SQL - Market Data

Wise

<div>Company Description 
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
More about our mission and what we offer. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</div>

Lead Data Scientist (Quant) - Treasury FX

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Explore 314+ Data warehouse developer in London this July. Find roles across top companies and apply now to boost your career.

314 data warehouse developer jobs In London

Data Engineer - Azure/ADF

Power BI Engineer - Wealth/ Finance industry exp (Developer III - Software Engineering)

Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake

Lead Data Warehousing Engineer

Software Engineer Python SQL - Market Data

Lead Data Scientist (Quant) - Treasury FX

Lead Data Scientist (Quant) - Treasury FX