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Massive Rocket

Senior Data Engineer (Databricks) - 8 months FTC

RemoteUnited Kingdom only
Published
Role
Data Engineering
Experience
Senior
Salary not disclosed
Check eligibility

Open to GB only. Set where you work from to check your eligibility.

No BS summary

Senior Data Engineer with 5+ years building production data pipelines, deep Databricks/Spark/PySpark/Delta Lake experience, and strong Python/SQL. Must be in the UK with valid right to work; no sponsorship. Needs customer data/CDP/Martech experience, especially mParticle and/or Braze, plus C1 English.

Core skills

DatabricksPySparkDelta Lake

Required skills

SparkStructured StreamingPythonSQLmParticle/BrazeAWS/Azure/GCPGitCI/CD

Optional skills

Delta Sharingreverse ETLOneTrustThoughtSpotTableauPower BI

Required languages

English C1

What you'll do

  • 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

What they require

  • 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
  • Preferred: Databricks certification such as Data Engineer Associate or Professional
  • Preferred: Experience with streaming, CDC, or event-driven technologies and patterns
  • Preferred: Experience with Delta Sharing, reverse ETL, or warehouse-native activation
  • Preferred: Experience with OneTrust or similar consent and preference management platforms
  • Preferred: Familiarity with ThoughtSpot, Tableau, Power BI, or other analytics platforms
  • Preferred: Experience working with high-volume B2C or consumer datasets
  • Preferred: Experience working with customer data within Martech, CRM, loyalty, retail, travel, or other B2C environments
  • Preferred: Proven ability to use AI tools to improve engineering productivity and day-to-day workflows
  • Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work
  • Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment
  • ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill)
  • References – We may request two references, so have names, relationships, and contact details ready
  • For Contractors – Proof of incorporation and up-to-date insurance is required

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

Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies.

MarTechStartup

Details

Visa sponsorshipNo
Salary not disclosed