7 часов назад
Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python/SQL/Databricks): Building and maintaining cloud-based data pipelines, integration frameworks, APIs, and self-service data platforms with an accent on scalable data processing, cloud-native services, and reliable enterprise data solutions. Focus on developing ETL/ELT workflows, preparing curated datasets, modernizing legacy processes, and supporting batch and near-real-time data operations.
Location: London - More London, United Kingdom
Company
is a global investment firm providing capital and strategic support across growth equity, infrastructure, credit, climate, and strategic solutions.
What you will do
- Design, develop, and maintain cloud-based data ingestion and integration pipelines.
- Build ETL/ELT workflows using Python, SQL, Spark, and Databricks.
- Integrate data from SaaS platforms, APIs, databases, and cloud applications.
- Develop centralized data services, APIs, logical data models, and service-layer abstractions.
- Prepare curated datasets for data lakes, enterprise data hubs, warehouses, analytics, reporting, and data science.
- Monitor pipelines, troubleshoot production issues, participate in code reviews, testing, and documentation.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- 2–4 years of experience in data engineering, analytics engineering, or a related technical role.
- Proficiency in Python and SQL, with an understanding of ETL/ELT, data modeling, and pipeline monitoring.
- Hands-on experience with Databricks, Snowflake, or similar modern data platforms.
- Familiarity with Azure or other cloud data services, including data lakes, warehouses, and orchestration tools.
- Strong problem-solving, communication, collaboration, and attention-to-detail skills.
Nice to have
- Experience in financial services or enterprise data environments.
- Exposure to Power BI or Tableau.
Culture & Benefits
- Collaborative work with senior data engineers, product managers, infrastructure, security, and application development teams.
- Opportunities to develop expertise in modern data engineering tools and practices.
- Medical insurance and retirement savings contributions.
- Mental and physical health resources and an equal pay program.
- Eligible employees may receive annual discretionary bonuses and long-term incentive programs.
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