Senior Data Engineer – Databricks

🕒 July 30

🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Massive Rocket | Data & CRM Consultancy

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Massive Rocket is a global data and CRM consultancy that operates at the intersection of modern marketing, product, and engineering. Specializing in Snowflake and Braze, Massive Rocket helps digital marketing teams connect with product and engineering departments to deliver personal, relevant, and human customer experiences at scale. The company offers a range of services including customer data management, customer engagement, marketing technology solutions, data engineering, and analytics. Massive Rocket collaborates with leading technology providers to assist in the deployment, integration, and operation of marketing technology stacks.

📋 Description

• Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from legacy systems, 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 and into Braze to power customer journeys and audience activation • Develop automated data quality, validation, governance, and monitoring frameworks to ensure reliable and compliant customer data • Enable CRM and marketing teams to access trusted, activation-ready audiences and customer data with minimal latency • Work with customer consent, preferences, and PII across data flows, ensuring compliance with frameworks such as GDPR and CCPA/CPRA • Troubleshoot pipeline and integration issues, improve reliability and performance, and optimise data consumption and infrastructure costs • Collaborate with CRM, Martech, Product, Analytics, and Data teams within 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 platforms such as ThoughtSpot

🎯 Requirements

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

🏖️ Benefits

• Rocket‑Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else • A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win • A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond • Remote‑First for Life – Work from wherever you feel your best • Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter • Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable