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Senior Data Engineer (Databricks) - 8 months FTC

3 weeks, 3 days ago
United Kingdom
Contract
Senior
Data Engineer
Software Development
Agile Apache Spark AWS Azure CI/CD CRM Databricks GCP Git Power BI Python Snowflake SQL Tableau
Apply Now
Massive Rocket

Massive Rocket

Massive Rocket is a Global Braze & Snowflake Agency that helps companies use data to understand their customers, automate communications, and generate predictable growth. They specialize in building beautiful digital experiences and increasing customer...

Media
51-250
Founded 2018
View All Jobs 10

Description

  • Design and maintain scalable batch and near real-time data pipelines in Databricks from legacy, POS, web, app, CRM, and other sources.
  • Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
  • Design and optimise data flows from Databricks through mParticle into Braze for audience activation and customer journeys.
  • Develop automated data quality, validation, governance, and monitoring frameworks.
  • Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
  • Handle customer consent, preferences, and PII in compliance with GDPR and CCPA/CPRA.
  • Troubleshoot pipeline and integration issues, improving reliability, performance, and infrastructure cost efficiency.
  • Collaborate with CRM, Martech, Product, Analytics, and Data teams in an Agile delivery environment.
  • Provide technical guidance through code reviews, mentoring, documentation, and data engineering best practices.
  • Support analytics and reporting use cases across Databricks and tools such as ThoughtSpot.

Requirements

  • 5+ years of experience in data engineering with production data pipelines.
  • Deep experience with Databricks, including Spark, PySpark, Structured Streaming, Delta Lake, and batch and near real-time processing.
  • Strong Python, SQL, and data modelling skills.
  • Experience integrating complex upstream or legacy data sources with Martech, CDP, or customer engagement platforms.
  • Strong understanding of customer data concepts including identity resolution, unified profiles, deduplication, enrichment, customer events, and audience management.
  • Experience with mParticle and/or Braze, or similar CDP/customer engagement platforms.
  • Strong understanding of data quality, governance, privacy, consent management, and customer PII handling.
  • Experience with cloud platforms such as AWS, Azure, or GCP, plus Git and CI/CD practices.
  • Strong communication and problem-solving skills with the ability to explain technical concepts to non-technical stakeholders.
  • Experience in an agency, consultancy, or client-facing Agile delivery environment.
  • English proficiency at C1 level.
  • Databricks certification such as Data Engineer Associate or Professional is desirable.
  • Experience with streaming, CDC, or event-driven technologies and patterns is desirable.
  • Experience with Delta Sharing, reverse ETL, or warehouse-native activation is desirable.
  • Experience with OneTrust or similar consent and preference management platforms is desirable.
  • Familiarity with ThoughtSpot, Tableau, Power BI, or other analytics platforms is desirable.
  • Experience with high-volume B2C or consumer datasets is desirable.
  • Experience in Martech, CRM, loyalty, retail, travel, or other B2C environments is desirable.
  • Ability to use AI tools to improve engineering productivity and workflows is desirable.

Benefits

  • Remote-first work environment.
  • Clear career progression and real ownership.
  • Fast-paced growth with strong learning opportunities.
  • Collaborative global team across Europe, the US, and beyond.
  • Team meetups, events, and shared experiences.
  • Supportive, positive company culture.

Interested in this position?

Apply directly on the company website

Apply Now

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