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Data Engineer
Data Engineer
Location: London (Hybrid – 2 days onsite per week) Salary: £60,000 Base + Benefits
We are seeking an experienced Data Engineer with strong Databricks experience to join our growing Data & Analytics team.
This is an excellent opportunity for a skilled Data Engineer looking to make an impact in a forward-thinking organisation.
The Data & Analytics team is in the early stages of implementing Databricks, with the aim of creating a centralised data platform to support multiple business applications, including Salesforce, HubSpot, and other key data sources.
This is a standalone role offering the opportunity for an experienced engineer to take ownership of the Databricks environment, establish best practices, and help shape the future data platform. We are looking for someone who is motivated, proactive, and excited by building something from the ground up.
Initially, the focus will be on data governance, platform setup, and establishing robust standards and processes, with technical support from a third-party partner. As the roadmap progresses, the role will evolve towards designing and developing data pipelines and expanding the Databricks platform.
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Responsibilities
- Design, build, and maintain scalable, production-ready data pipelines within Databricks.
- Develop ingestion, transformation, and optimisation solutions using SQL, Spark, and Python.
- Ensure data platforms and datasets are reliable, performant, and ready for analytics and business intelligence.
- Lead hands-on data mapping activities from legacy systems into Databricks, considering downstream analytics requirements including Tableau and future AI-driven use cases such as Mulesoft IDP and Data360/Agentforce.
- Support mergers and acquisitions by ingesting, analysing, and integrating new data into the centralised platform.
- Assess and integrate acquired datasets to ensure seamless alignment with existing data structures.
- Establish and maintain testing standards across functional, regression, integration, and user acceptance testing.
- Implement data quality frameworks, validation processes, and monitoring within pipelines.
- Support governance standards defined by the Data & Analytics Manager.
- Maintain high-quality documentation and ensure strong data governance practices.
- Collaborate with internal teams and external partners, working within an Agile environment using tools like Jira, Confluence, and Miro.
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Requirements
Essential:
- Proven commercial experience as a Data Engineer in a modern data platform environment.
- Strong hands-on experience with Databricks or similar cloud-based data platforms.
- Demonstratable experience designing and building production-grade data pipelines.
- Experience working with data migration and mapping from legacy systems.
- Strong understanding of data modelling, transformation, and data engineering principles.
- Experience supporting analytics and reporting platforms such as Tableau.
Desirable:
- Experience with Salesforce Data Cloud (Data 360) or CRM data models.
- Exposure to AI-ready data platforms, automation, or emerging data use cases.
- Experience working within a Centre of Excellence or collaborative multi-team environment.
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