Senior Data Engineer (Databricks) - 8 months FTC
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 46d ago
The date the source published, not the day we noticed it (2026-07-30). Last seen at its source just now.
Is it remote?
Anywhere in UK
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £75k–100.9k/yr
Middle 50% of 21 listings that do state pay — Engineering · Senior · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 37d ago · last seen just now
The listing
As a Senior Data Engineer (Databricks) at Massive Rocket, you'll build the data foundation that powers modern, event-driven customer engagement for our enterprise clients.
You'll design and maintain scalable data pipelines that move customer data from complex legacy and operational systems into Databricks, and onward through platforms such as mParticle and Braze. Your work will enable CRM and marketing teams to access accurate, governed, near real-time customer data and activate personalised experiences across email, push, in-app, and other channels.
Working as part of an embedded Agile delivery team, you'll combine strong data engineering expertise with an understanding of customer data, identity resolution, CDPs, and Martech activation. You'll play a key role in replacing fragmented, batch-based processes with reliable data foundations that support real-time customer engagement.
- 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
- 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
Desirable
- Databricks certification such as Data Engineer Associate or Professional
- Experience with streaming, CDC, or event-driven technologies and patterns
- Experience with Delta Sharing, reverse ETL, or warehouse-native activation
- Experience with OneTrust or similar consent and preference management platforms
- Familiarity with ThoughtSpot, Tableau, Power BI, or other analytics platforms
- Experience working with high-volume B2C or consumer datasets
- Experience working with customer data within Martech, CRM, loyalty, retail, travel, or other B2C environments
- Proven ability to use AI tools to improve engineering productivity and day-to-day workflows