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Senior Data Engineer Market Intelligence

ISS STOXX

Greater London

On-site

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading financial technology firm in the UK is seeking a Senior Data Engineer to join its team. The successful candidate will design, develop, and maintain robust ETL pipelines, optimizing data systems' performance. Essential qualifications include 5 years of experience in data engineering, expert proficiency in SQL, and familiarity with cloud integration tools. The role offers opportunities for mentorship and collaborative projects, fostering an inclusive work culture focused on growth and innovation.

Qualifications

  • 5+ years of experience in data engineering or related field.
  • Expert-level proficiency in SQL with knowledge of Oracle or SQL Server.
  • Good proficiency in any OOP language (Python, Java, C#).

Responsibilities

  • Design, develop, and maintain robust ETL / ELT pipelines.
  • Collaborate with teams to gather requirements and fix issues.
  • Optimize performance of data systems and troubleshoot bottlenecks.

Skills

ETL / ELT pipelines
SQL (Oracle or SQL Server)
Python
Apache NiFi
AWS Glue
Machine learning
QlikSense

Education

Bachelor's degree in Computer Science or Engineering

Tools

Apache Airflow
Hadoop
Spark
Job description
Role Overview

ISS STOXX is actively looking for a highly skilled and motivated Senior Data Engineer to join our development team. You will play a pivotal role in designing, building, and modernizing the data pipelines that power our analytics and market intelligence capabilities.

Key Responsibilities
  • Design, develop, and maintain robust ETL / ELT pipelines.
  • Collaborate with software engineers, database developers, data operations, and product managers to gather requirements and investigate / fix issues.
  • Optimize performance of data systems and troubleshoot bottlenecks.
  • Mentor junior data engineers and contribute to team knowledge sharing.
  • Implement data governance, quality, and security best practices.
  • Evaluate and recommend new technologies and tools to improve ETL pipelines.
Required Skills & Experience
  • 5 years of experience in data engineering or related field.
  • Expert-level proficiency in SQL with deep knowledge of either Oracle or SQL Server.
  • Good proficiency in any OOP language (Python, Java, C#).
  • Experience developing reliable and efficient data pipeline solutions.
  • Experience with on-prem or cloud data integration systems (e.g., Apache NiFi, Apache Airflow, AWS Glue).
  • Familiarity with CI / CD pipelines and DevOps practices.
  • Excellent problem‑solving and communication skills.
  • Bachelor's degree in Computer Science or Engineering or equivalent experience.
Nice to have
  • Experience with machine learning.
  • Contributions to open‑source projects or technical blogs.
  • Knowledge of data privacy regulations (e.g., GDPR).
  • Experience with QlikSense.
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.

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.

ISS Market Intelligence (ISS MI) is a leading provider of data insights and market engagement solutions to the global financial services industry. ISS MI empowers asset and wealth management firms, insurance companies, distributors, service providers, and technology firms to assess their target markets, identify and analyze the best opportunities within those markets, and execute on comprehensive go‑to‑market initiatives to grow their business. Clients benefit from our increasingly connected global platform that leverages a combination of proprietary data, powerful analytics, timely and relevant insights, in‑depth research, and an extensive suite of industry‑leading media brands that deliver unmatched market connectivity through news and editorial content, events, training, ratings, and awards.

Required Experience

Senior IC

Key Skills
  • Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
Employment Type

Full‑Time

Experience

years

Vacancy

1

Legal and Diversity Statement

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.

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