/Data Engineer SQL Databricks - Fintech

Data Engineer SQL Databricks - Fintech

Newcastle upon Tyne, Tyne and Weargbvia direct
// Job Type
Full Time
// Salary
GBP 90,000 - 120,000/year
// Salary Range
90,000–120,000 GBP / year
// Posted
1 month ago
// Seniority
mid
// Work Mode
onsite

About the Role

As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll contribute to the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions. A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm's core platform. Additionally, you'll curate and manage both internal and external datasets to support the front office's analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment. You'll also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation. Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!). About you: You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills

Tech Stack

SQLDatabricksAzureApache SparkPythonPySparkPandasdata pipelinesdata modeling

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