Senior Data Engineer

Jackalope Digital LLC

Greater London

On-site

GBP 90,000 - 130,000

Full time

6 days ago

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Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

Paid for AI Subscription (Claude /Chat

Market-Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Regular Happy Hours & Team Lunches

Free Coffee, Drinks & Snacks

Job summary

Quantum seeks a Senior Data Engineer to design a robust, scalable real-time data backbone. You will build and maintain high-performance data pipelines, enabling real-time analytics and insights across teams.

You will own the semantic layer with Cube.js, integrate Salesforce Marketing Cloud, CDP, and SCV data, and mentor junior engineers while collaborating with stakeholders.

Qualifications

Extensive hands-on data engineering experience.
Built and maintained semantic layers with Cube.js.
Experience integrating Salesforce Marketing Cloud, CDP, and SCV data.
Expert SQL and dbt transformation pipelines.
Experience with Apache Airflow in production.
Proficiency in Python and data modelling.
Excellent written and verbal English communications.

Responsibilities

Design, develop, and maintain scalable data pipelines for real-time analytics.
Own semantic layer using Cube.js for self-serve analytics across the organisation.
Integrate data from Salesforce Marketing Cloud, CDP, and SCV to unify data flows.
Lead the development of dbt-based transformation workflows with testing and documentation.
Architect and manage Airflow pipelines for reliability and observability.
Monitor and optimise pipeline performance for low latency and high throughput.
Collaborate with Data Architect, analysts, and stakeholders to support business goals.
Mentor and support junior engineers to raise overall team capability.

Skills

Data engineering

Cube.js semantic layer

dbt transformations

Apache Airflow

Python

SQL

Cloud platforms

Data modelling

Mentorship

Communication

Tools

dbt

Apache Airflow

Cube.js

Salesforce Marketing Cloud

SCV

AWS

GCP

Azure

Job description

Our Company

At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

Our Technology team is growing and we'd love you to grow with us. We're looking for a skilled and experienced Senior Data Engineer to help design and build a robust, scalable, and high-performance real-time data backbone.

In this role, you'll take a leading hand in the design, development, and implementation of a real-time data backbone. Your focus will be on building and maintaining scalable, high-performance data pipelines that support real-time data processing and analytics. You'll work closely with teams across the business to ensure our infrastructure meets growing data needs, leveraging modern technologies for efficient data ingestion, storage, and analysis.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting.
Take ownership of our semantic layer using Cube.js, enabling reliable, self-serve analytics across the organisation.
Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent data flow across marketing and customer data platforms.
Lead the development of transformation workflows using dbt, with a strong emphasis on testing, documentation, and data quality.
Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and observability at every stage.
Monitor and optimise pipeline performance for low-latency, high-throughput use cases.
Collaborate closely with Data Architect, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives.
Mentor and support more junior engineers, helping to raise the bar across the team.

About You

Significant hands-on experience in data engineering, with a proven track record of leading and delivering complex data initiatives end to end.
Great understanding of semantic layers such as Cube.js you've built and maintained semantic layers and understand pre-aggregations, caching strategies, and multi-tenancy.
Strong experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) data you understand the nuances of customer and marketing data at scale.
Expert-level SQL and proven experience building robust transformation pipelines with dbt.
Solid experience orchestrating workflows with Apache Airflow in production environments.
Comfortable working across cloud platforms (AWS, GCP, or Azure) for data ingestion, storage, and processing.
Proficiency in Python or a similar language for pipeline development and automation.
Strong data modelling instincts you think carefully about how data is structured, named, and consumed downstream.
You're as comfortable whiteboarding architecture with engineers as you are explaining data concepts to non-technical stakeholders.
Calm and focused in a fast-moving environment you can prioritise well and bring others along with you.
Excellent written and verbal English communication skills.
You lead by example, care about the team's success, and leave things better than you found them.