Data Engineer Python -TOP Asset Manager!

Data Engineer (Python) -TOP Asset Manager!

Do you want to work in a brand-new team with full Autonomy?

Are you driven and commercial? Do you like working in a fast-paced environment?

Do you want to work in a company where you can make a BIG Impact?

The Data Engineer must come from some of Fintech, Financial services, Insurance, PE/VC fund or Banking background.

This role is based in London -1-2days in the office More flexibility when and if needed. You will be working with a Pragmatic Hiring Manager who has a good understanding of emotional intelligence.

Vision for this role:

The Data Engineer will be joining a BRAND-NEW Team and play a pivotal role in the current and future data strategy. You will be working with a High-End Technology Tech Stack which allows a Robust Data Pipeline for Data Lake Infrastructure that allows Portfolio managers to collect, validate and analyse large datasets.

Qualifications/experience required

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
• 2+ years experience in business analytics, data science, software development, data modelling or data engineering work, ideally in Tech or Financial Services/FinTech
• 1+ years experience as a Data Engineer manipulating and transforming data in Spark SQL, PySpark, or Spark Scala
• 1+ years experience manipulating and transforming data in TSQL
• 1+ years experience translating business requirements to technical requirement.
• Proficiency in Python, Microsoft Power Apps, GA, Big Query and Power BI highly recommended

Competencies/skill set

• Proficiency in programming languages such as Python and SQL for data processing, manipulation, and analysis
• Experience with big data technologies and frameworks. Proficiency in Apache Spark and experience with Spark SQL,

PySpark for distributed data processing and storage

• Strong understanding of data modelling concepts, ETL and ELT processes, and data warehousing principles
• Knowledge of cloud computing platforms, in particular Azure, and experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, and Azure Databricks for data storage, processing, and analytics
• Knowledge and experience with Git operations, GitHub copilot and CI/CD flows
• Familiarity with data visualisation tools and techniques, especially Power BI, for creating interactive dashboards and reports
• Passion for data and the desire to learn & adopt new technologies

??This role offers a competitive base salary and up to 10-20% bonus potential,

25 days holidays

Pension

Medical Care ?? Don't miss out on this opportunity to work with one of the best in the industry!If you're interested in this opportunity, submit your CV as soon as possible. Interviews will be arranged ASAP!

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