Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

Institutional Shareholder Services Inc.
City of London
3 days ago
Create job alert

Let’s be #BrilliantTogetherISS Stoxx is seeking a Senior Data Engineer to bolster our expertise in the development and deployment of our cutting-edge financial intelligence platform. We are concluding the first phase of a full-scale re-architecting of our on-prem data estate to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Principal Data Engineers and the wider team to evolve our data architecture and interpret product needs, requirements and enterprise policies into solutions that deliver clear value and accrue to our five-year vision. You’ll be an advocate of our architecture and solutions and constantly seek feedback on ways to improve its fit.You’ll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction – in a culture where the global Data Engineering function collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge, and drive continuous improvement initiatives.You’ll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You’ll lead by example, using data and proof-of-concepts to bring people along and make them successful. You’ll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery – you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too.Responsibilities* Design, build, test, deploy and support capabilities and use cases on our expanding data ecosystem* Work smart, look for reuse and extension and focus on new problems, not solved problems* Interpret requirements and engage stakeholders to ensure what you’re building is relevant and valuable* Generously share your experience to help your peers develop and grow* Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback* Keep abreast of emerging trends and technologies in cloud data management and operation, to form and disseminate new insights* Be a data pipeline or data content expertRequirements* 5+ years experience, with focus on data engineering in the cloud* Experience developing and deploying of large-scale, complex data pipelines* Experience of decomposed batch transformation pipelines, based on lakehouse concepts* Experience of cloud development, the benefits and challenges* Experience of GCP, AWS or Azure products across database, serverless, containerization and API* Pragmatic experience using agile to deliver incremental value* Experience working in a global or multinational team setting* Strong communication and collaboration skills* Focus on simplicity, automation and observability* Bachelor's degree in Computer Science or related field* Expertise with DBT, Python, SQL, Airflow, DataDogDesirable* Strong knowledge of GCP products, especially BigQuery, CloudRun and CloudSQL* Experience of micro-batch and near real-time data pipelines* Experience integrating RAG LLMs and machine learning models into data pipelines, using user decision data for ongoing model training, and of exposing chat interfaces to data assets* Experience with data cataloguing and data entitlement capabilities* Practical knowledge of using DBT to implement layered transformation flows* Domain knowledge of financial market data and financial index data models and feeds* Experience with on-prem deployments and on-prem to cloud migration#LI-TG1 #STOXX #MIDSENIORWhat You Can Expect from UsAt ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether.About ISS STOXXISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX and DAX indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50, STOXX Europe 600 and DAX, the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: *Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.*Let's empower, collaborate, and inspire one another. Let's be #BrilliantTogether!ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately 6,400 clients include many of the world’s leading institutional investors who turn to ISS
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer | Cambridge | Greenfield Project

Senior Data Engineer - Azure, BI & Data Strategy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.