Senior Data Engineer

ISS | Institutional Shareholder Services; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial technology firm in Greater London is seeking a Senior Data Engineer to enhance their financial intelligence platform. In this role, you will design and support data systems, collaborate with cross-functional teams, and advocate for best practices in data architecture. Ideal candidates should have over 5 years of cloud data engineering experience, strong knowledge in tools like DBT and Python, and a Bachelor's degree in a relevant field. Join us to empower innovation and drive success in a diverse team environment.

Qualifications

• 5+ years experience in data engineering in the cloud.
• Experience developing and deploying large-scale data pipelines.
• Experience with decomposed batch transformation pipelines.

Responsibilities

• Design, build, test, deploy and support capabilities on our data ecosystem.
• Interpret requirements and engage stakeholders to ensure relevance.
• Advocate for architecture and solutions.

Skills

Data engineering in the cloud

Data pipeline development

Cloud technologies (GCP, AWS, Azure)

Communication

Automation

Education

Bachelor's degree in Computer Science or related field

Tools

DBT

Python

SQL

Airflow

DataDog

Job description

Let’s be #BrilliantTogether

ISS 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 expert

Requirements

• 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, DataDog

Desirable

• 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 #MIDSENIOR

What You Can Expect from Us

At 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 STOXX

ISS 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.

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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.