Enable job alerts via email!

Data Engineer

CRED

United Kingdom

Hybrid

USD 140,000 - 180,000

Full time

Yesterday

Be an early applicant

Job summary

A leading technology company is seeking an experienced Data Engineer to design and maintain data infrastructure. The role requires strong expertise in SQL, BigQuery, and Python and offers a competitive salary along with a flexible working environment. Successful candidates will have at least 5 years of experience and a passion for data-driven insights.

Benefits

Unlimited holiday

Metrics-based bonus

Equity options

Qualifications

Proven experience in building data pipelines and infrastructure.
Strong collaboration skills across functional teams.
Exceptional communication and problem-solving in fast-paced environments.

Responsibilities

Design, build, and maintain data pipelines.
Scale ETL/ELT processes using modern tools.
Collaborate to define data contracts and optimize data usage.
Ensure data quality and integrity through monitoring.

Skills

SQL

BigQuery

Python

dbt

Data modeling

Data warehousing

ETL/ELT processes

Collaboration skills

Education

5+ years of experience as a data engineer

Tools

Airflow

GCP

AWS

Join to apply for the Data Engineer role at CRED

Continue with Google Continue with Google

Join to apply for the Data Engineer role at CRED

Get AI-powered advice on this job and more exclusive features.

Continue with Google Continue with Google

Data Engineer (Pipelines, ETL, BigQuery, Python)

Data Engineer (Pipelines, ETL, BigQuery, Python)

Location: Hybrid in San Francisco or London — open to exceptional candidates worldwide

Team: Engineering

Experience: 5+ years

Compensation: Competitive salary + Metrics-Based Bonus + Equity

Other perks: Unlimited holiday

Visit our site →

Power the Data Infrastructure Behind AI-Driven Decision Making

CRED is building the AI Native Command Center for modern businesses — a platform that centralizes internal and external data and transforms it into actionable intelligence. From powering sales agents to automating strategic decisions, we’re building the future of how companies operate.

Backed by a $10M+ seed round and trusted by partners like the PGA and Golden State Warriors, we’re scaling fast. Our platform processes massive datasets across customers, companies, and behavioral signals — and we’re looking for an experienced Data Engineer to help us build the pipelines and transformations that make our intelligence engine run.

What You’ll Do

Design, build, and maintain robust data pipelines for ingesting, cleaning, and transforming structured and semi-structured data
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python
Build modular data models that power analytics, product features, and LLM agents
Integrate with external data providers and internal sources to create unified, enriched datasets
Collaborate across AI, product, and engineering to define data contracts and optimize pipelines for downstream use
Monitor pipeline performance, implement observability tools, and ensure data quality and integrity
Operate within fast-paced weekly sprints, delivering real value to end users quickly and iteratively

How We Work

We run on weekly sprints, fast feedback loops, and a bias for shipping. You’ll have autonomy and ownership from day one, working cross-functionally to design systems that scale and adapt with our platform and customer needs.

What We’re Looking For

5+ years of experience as a data engineer, working on ETL/ELT and large-scale data systems
Strong experience with SQL, BigQuery, dbt, and Python
Deep understanding of data modeling, warehousing, and transformation best practices
Experience building data infrastructure from scratch in cloud-native environments (GCP, AWS, etc.)
Familiarity with modern orchestration tools (Airflow, Dagster, Prefect, etc.)
Strong collaboration skills — you can align stakeholders across product, AI, and engineering
Clear communicator and fast problem solver — especially in ambiguous, fast-moving settings

Bonus Points

Experience working with data for AI/ML systems, LLMs, or agent-based tools
Built or scaled internal data platforms or customer data products
Exposure to event-driven architectures or real-time data ingestion
Passion for clean, testable code and reproducible workflows
Previous startup or early-stage experience

Why Join CRED?

At CRED, you’ll be part of a small, high-performance team building foundational systems that power the next generation of AI-native business tools. You’ll work with massive datasets, cutting-edge tools, and people who care deeply about speed, impact, and integrity. If you’re excited to turn raw data into insight, automation, and intelligence — this role is for you.

Apply now or reach out to careers@credplatform.com with any questions.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Technology, Information and Internet

Referrals increase your chances of interviewing at CRED by 2x

Continue with Google Continue with Google

London, England, United Kingdom $140,000 - $180,000 1 month ago

London, England, United Kingdom 5 months ago

Front End Developer (Remote Fixed Term Contract)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

React Developer (Full-Time or Part-Time)

London, England, United Kingdom 2 months ago

Gildersome, England, United Kingdom 2 days ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 weeks ago