analytics engineer

The Law Society

<div></div><div><div><div><div><div>Join the Law Society's Data and AI team at an exciting stage of our data transformation journey. Having recently implemented our first enterprise Data Platform, we're looking for an Analytics Engineer to help shape the next phase of our data and analytics capability.

In this role, you will design, build and maintain trusted data models and analytics products that enable reporting, generate valuable insights and support informed decision-making across the organisation.

Working closely with data engineers, analysts and business stakeholders, you'll transform complex data into well-governed, reusable analytical models that power reporting tools such as Power BI. You'll also play a key role in improving data quality, enhancing data accessibility and ensuring colleagues can confidently find, trust and use data to drive business outcomes.

This is an excellent opportunity to join a knowledgeable and growing Data and AI team where you'll have the chance to influence best practice, work with modern technologies and contribute to the continued evolution of our data platform.
</div></div></div></div><div><div><div><h2 class="jobSectionHeader">What we're looking for</h2></div>
</div></div><div><div><div><div>We're looking for someone with a passion for data and analytics who can bridge technical expertise with business needs. You will have:
<ul>
<li>Strong SQL skills and experience designing reliable, scalable and maintainable data models, optimised for BI tools such as Power BI.</li>
<li>Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms.</li>
<li>Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory.</li>
<li>An understanding of data governance, data lineage and data quality principles.</li>
<li>The ability to work collaboratively with stakeholders to translate business requirements into practical data solutions.</li>
<li>A proactive, collaborative approach with a commitment to continuous improvement.</li>
</ul>
Desirable skills include:
<ul>
<li>Experience using Git and Python.</li>
<li>Experience working within Agile delivery environments.</li>
<li>Relevant cloud or data certifications.</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader">What's in it for you</h2></div>
</div></div><div><div><div><div>This is an exciting opportunity to join a respected membership organisation with a strong reputation for excellence and legal expertise. You'll work alongside talented colleagues who are passionate about using data to deliver meaningful impact across the organisation.

At the Law Society, we're committed to fostering an inclusive workplace where equality, diversity and inclusion are valued, and where our culture is built on trust, clarity, excellence and respect.

We offer:
<ul>
<li>Hybrid working.</li>
<li>A generous and flexible benefits package.</li>
<li>A supportive and collaborative working environment.</li>
<li>Excellent opportunities for learning, development and career progression.</li></ul> 

 
Please note: if you are an internal applicant, Pay Policy will apply. 
The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.</div></div></div></div></div>

Analytics Engineer

Lendable

<div><h2 class="jobSectionHeader">About Lendable</h2>
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:<ul><li>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</li><li>
Among the fastest-growing tech companies in the UK</li><li>
Profitable since 2017</li><li>
Backed by top investors including Balderton Capital and Goldman Sachs</li><li>
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</li></ul>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers&rsquo; hands in minutes instead of days.
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.<h2 class="jobSectionHeader">
Join us if you want to</h2><ul><li>
Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.<h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</li><li>
Championing standards and contributing to the improvement of our analytics engineering culture.</li><li>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</li><li>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</li></ul><h2 class="jobSectionHeader">
Our modern data stack</h2>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.<h2 class="jobSectionHeader">
What we're looking for</h2>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
More specifically, we&rsquo;re looking for:<ul><li>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</li><li>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</li><li>
Experience with Snowflake or another modern cloud data warehouse.</li><li>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</li><li>
A collaborative working style and clear communication across technical and non-technical stakeholders.</li><li>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</li></ul><h2 class="jobSectionHeader">
Interview process</h2><ul><li>
Initial call with an engineer</li><li>
15 minute Cognitive Assessment</li><li>
Onsite or Video Interview lasting 90 minutes, comprising of:<ul><li>
Introduction of the team and kind of work you could be doing daily</li><li>
Interactive architecture/design exercise</li><li>
Questions you may have about the company, role, etc.</li></ul></li><li>
A 60 minute chat with this role's primary stakeholders<ul><li>
Cultural/behavioural questions</li><li>
Product mindset and ability to collaborate and communicate</li></ul></li></ul><h2 class="jobSectionHeader">
Life at Lendable</h2><ul><li>
Winning team: the opportunity to scale up one of the world&rsquo;s most successful fintech companies</li><li>
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</li><li>
Socials &amp; connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls</li><li>
Health coverage: support for your physical and mental wellbeing, including private health cover</li><li>
Retirement &amp; savings: long-term financial wellbeing through retirement savings plans</li><li>
Employee referral programme: earn a competitive bonus when you refer successful new team members</li><li>
Office meals &amp; snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</li><li>
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</li></ul>
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!</div>

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Simply Business

<div>
 
 Who Are We?
 
 
 
 We insure small businesses and enable big dreams &ndash; not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
 
 
 We&rsquo;re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project&rsquo;, we're working to help 10,000 small businesses start or grow by 2030.
 
 
 Why not check out our advert on YouTube: Simply Business TV advert 2024: 'Simply the Best'.
 
 
 
 Job Category
 
 
 
 Technology
 
 
 
 Position Type
 
 
 
 Permanent
 
 
 
 Target Openings
 
 
 
 1
 
 
 
 What Is the Opportunity?
 
 
 
 
 Here's What You'll Be Doing
 
 
 
 Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you&rsquo;ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future.This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you&rsquo;ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions&mdash;from dynamic pricing to risk assessment&mdash;across our entire global operation
 
 
 
 As One Of Our Senior Analytics Engineers, You'll
 
 
 
 <ul>
 <li>
 Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
 </li>
 <li>
 Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
 </li>
 <li>
 Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features.
 </li>
 <li>
 Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams.
 </li>
 <li>
 Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
 </li>
 <li>
 Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers.
 
 
 </li>
 </ul>
 
 We're Looking For Someone Who Is
 
 
 
 <ul>
 <li>
 A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
 </li>
 <li>
 Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
 </li>
 <li>
 Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
 </li>
 <li>
 Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
 </li>
 <li>
 A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
 </li>
 <li>
 A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.
 
 
 </li>
 </ul>
 We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.
 
 
 We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
 
 
 
 Ready to build the future of insurance?
 
 
 
 If you&rsquo;re a tech-minded engineer who thrives on complexity and wants to see your code drive real-world impact, we want to hear from you. At Simply Business, we&rsquo;ve moved past legacy constraints&mdash;we&rsquo;re building a high-scale, event-driven ecosystem where your work on AI-ready data models will directly protect over 900,000 customers. Join a team where your expertise is celebrated, your development is prioritised, and your technical vision helps us redefine what&rsquo;s possible in Insurtech.
 
 
 
 Apply now to start your journey with SB
 
 
 
 
 What Are The Benefits Of Working At Simply Business
 
 
 
 <ul>
 <li>
 we offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
 </li>
 <li>
 on top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits
 </li>
 <li>
 our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
 </li>
 <li>
 our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And our long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
 </li>
 <li>
 private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses
 </li>
 <li>
 we offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance
 </li>
 <li>
 access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling
 </li>
 <li>
 we match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
 </li>
 <li>
 our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
 </li>
 <li>
 our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
 
 
 </li>
 </ul>
 Ready to join us and drive our success as a high-performing team? Apply today.
 
 
 
 Employment Practices
 
 
 
 Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don&rsquo;t (and won&rsquo;t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.
</div>

Senior Analytics Engineer

JaJa Finance Ltd

<div>About Jaja

Our Mission: Empowering our customers to buy, borrow, and build&mdash;driven by tech, fuelled by data, and built for the future.

Our Company Values: Care Deeply, Adapt &amp; Thrive, Challenge everything, Go for it! Own it, Make it Simple 
Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. 

We are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as we say it, Make Simple. 

We will delight our customers &ndash; making the customer experience simpler, more enjoyable, more intelligent &ndash; treating customers fairly and giving them more control of their money. 
Why Join Us?

This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.

We have a collaborative team structure fueled by an exciting mix of people, welcoming experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself! 
About The Role

This role requires a hybrid skillset across data modelling and stakeholder management. The role works closely with tech teams and business teams to deliver and maintain data assets in Snowflake, adhering to best practice and ensuring business continuity. The ideal candidate will bring a proactive and collaborative approach to data operations with an interest in learning new skills to support the team&rsquo;s delivery. 


Key responsibilities
<ul>
<li>Supporting the delivery of new data models in a modern technology stack</li>
<li>Collaborating with stakeholders from different business areas to understand their requirements and provide appropriate solutions</li>
<li>Developing existing data models in line with product and engineering</li>
<li>Upholding the data governance standards</li>
<li>Supporting the BI and Analytics teams with key data sources required for their deliveries</li></ul> 


About You 

Essential
<ul>
<li>SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake</li>
<li>Using transformation tools, we use Coalesce.io but DBT would also set you up for success</li>
<li>Modelling structured and unstructured data</li>
<li>Ability to work in a fast-paced dynamic environment ideally in a start-up/ scale-up</li>
<li>Strong problem solving and attention to detail</li>
<li>Excellent communication and collaboration skills</li></ul> 


Desired
<ul>
<li>Experience with data quality frameworks</li>
<li>Familiarity with finance, credit and associated reporting</li>
<li>Experience of working with Product and Engineering teams</li>
<li>Knowledge of testing standards and version control</li>
<li>Experience with orchestration</li></ul> 
 
 
What's in it for you?
<ul>
<li>The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever</li>
<li>Competitive salary</li>
<li>Pension contributions, including Salary Exchange facility</li>
<li>Annual bonus potential</li>
<li>Private medical cover provided by Vitality (optional benefit)</li>
<li>25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days).</li>
<li>Your birthday off each year as an additional day's holiday</li>
<li>4x life insurance cover</li>
<li>Access to our confidential Employee assistance programme</li></ul></div>

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

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

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