Senior Data Engineer

Venture Up

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Lucrative salary

Bonus

Excellent benefits

Job summary

A dynamic sports betting company in London is seeking a Senior Data Engineer to join their talented team focused on horse racing. This role involves building and maintaining data pipelines and implementing streaming data architectures. Ideal candidates will have over 5 years of experience in data engineering with deep expertise in Python and SQL, along with hands-on experience in streaming technologies. The company offers competitive salaries, bonuses, and excellent benefits, fostering a collaborative environment with top professionals in the field.

Qualifications

5+ years of experience in data engineering.
Deep experience in Python, SQL, and data modelling.
Hands-on experience with streaming technologies.
Experience integrating data from external APIs and third-party providers.
A degree in Computer Science or a numerical subject from a top university.

Responsibilities

Build and maintain data pipelines from multiple external providers.
Design and implement streaming data architectures.
Work closely with quantitative researchers and engineers.

Skills

Python

SQL

Data modelling

Streaming technologies

Data integration

APIs integration

Education

Degree in Computer Science or numerical subject

Tools

Snowflake

DBT

Kafka

ClickHouse

Job description

*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*

A Senior Data Engineer is required for an exciting and innovative Software sports betting company based in London. The successful candidate will join a talented horse racing team and will be working closely with the quantitative researchers and alongside other extremely talented and driven engineers to build and support systematic trading models. You will be joining a tight-knit team of research mathematicians, computer scientists and trading analysts at the top of their chosen fields. You will be building and maintaining data pipelines that ingest data from multiple external providers, APIs, and real-time feeds, designing and implementing streaming data architectures to support low-latency trading requirements.

5+ years of experience in data engineering, with deep experience in Python, SQL, and data modelling.
Experience with cloud data warehouses, orchestration frameworks, and transformation tools.
Hands-on experience with streaming technologies (Kafka or similar).
Experience integrating data from external APIs and third-party providers.
A degree in Computer Science or a numerical subject from a top university.

Core Tech Stack

You'll have the freedom to choose the tools and technologies that fit each problem best, but here's a snapshot of what the company currently uses: