lever
Senior Data Engineer (Databricks) - 8 months FTC
Massive-rocket
Remote, GBR
Contract
Senior · 5+ years experience
Remote
Discovered 2 weeks ago
DatabricksSparkPySparkStructured StreamingDelta LakemParticle
Free
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Key Skills for This Role
DatabricksSparkPySparkStructured StreamingDelta LakemParticle
Full Job Posting
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
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
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