обновлено 3 дня назад
Internal Audit - Data Engineering - Associate - Birmingham
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Internal Audit - Data Engineering - Associate - Birmingham (Python/SQL/Data Platforms): Building production-grade ETL/ELT pipelines, data models, and AI-ready data products for Internal Audit with an accent on data quality, lineage, dimensional modelling, and scalable processing. Focus on designing reusable data solutions, resolving complex data discrepancies, and supporting governed analytics across Snowflake and relational platforms.
Location: Birmingham, West Midlands, England, United Kingdom; office-based role
Company
is a global investment banking, securities and investment management firm founded in 1869, with offices worldwide.
What you will do
- Design, build, test and support production-grade ETL/ELT pipelines for Internal Audit.
- Develop maintainable Python solutions using Pandas, Polars and PySpark.
- Write advanced SQL for transformation, reconciliation, profiling and analysis across operational and analytical platforms.
- Design dimensional models, lakehouse and data-lake patterns, and data products for operational and analytical use cases.
- Implement data-quality checks, controls, lineage, observability, documentation and automated tests.
- Partner with audit teams and data owners to resolve discrepancies and deliver reusable, governed data solutions.
Requirements
- At least 3 years of relevant experience in data engineering, software engineering or data platforms.
- Bachelor’s degree or equivalent practical experience in computer science, engineering or a related quantitative discipline.
- Hands-on Python proficiency, including Pandas, Polars and PySpark, with experience writing testable and maintainable code.
- Strong SQL skills and practical knowledge of OLTP databases, relational design, query performance, data warehousing and dimensional modelling.
- Experience designing and implementing ETL/ELT pipelines and working with data lakes, lakehouses or cloud data.
- Strong data analytics, problem-solving, written communication and cross-functional collaboration skills.
Nice to have
- Experience with Snowflake and data integration from DB2, PostgreSQL or comparable enterprise platforms.
- Exposure to Spark-based processing, orchestration frameworks, CI/CD, containers and cloud data services.
- Familiarity with semantic layers, metadata management and governed, AI-ready data products.
- Understanding of data governance, privacy, security, lineage and retention expectations.
- Experience in financial services, audit, risk or controls.
Culture & Benefits
- Professional office environment.
- Commitment to diversity, inclusion and equal opportunity.
- Opportunities for professional and personal growth.
- Reasonable accommodations are available during the recruiting process for candidates with special needs or disabilities.
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