Data Engineer SQL Databricks – Fintech

Overview

In this role you will partner with front office teams to translate data needs into scalable, reliable data capabilities. You’ll contribute to developing and operating the firm’s data platform using in-house and third-party tools, focusing on automating data processes and building robust pipelines. You will curate datasets and implement pragmatic data models while enforcing quality and standards. Join a fast-paced, collaborative environment where you shape data solutions that support business objectives and analytics.

Pay / Benefits

• salary up to 120k
• bonus
• 25 days holiday
• Bupa healthcare
• generous pension contributions
• continuous career development opportunities

Responsibilities

• understand data needs from front office and translate into data solutions
• develop and operate the data platform using multiple tools
• design and maintain data pipelines from external providers
• curate and manage internal and external datasets for analytics and operations
• establish and enforce data standards and quality controls
• design pragmatic data models and architectures suitable for fast-paced environments

Key requirements

• commercial Data Engineering experience
• experience with Databricks, ideally Azure
• proficiency in SQL, Apache Spark, Python (PySpark and Pandas)
• strong collaboration and communication skills
• academic record with minimum 2.1 BSc from a top-tier university
• experience shaping data platforms in a business context

• collaborative
• strong communication
• problem-solving
• Databricks
• Azure
• SQL

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