Remote Data Engineer – Analytics & ELT Pipelines

OTA Recruitment; England; Hybrid; GBP 40,000 - 55,000; Full time

Job summary

A specialized sports analytics firm is seeking a Data Engineer to design and optimize analytics workflows. This role requires proficiency in SQL and Python for data modeling and transformation, along with experience in cloud-based platforms. The ideal candidate will contribute to data quality and visualizations to support decision-making across the business. Ideal for someone with 1+ years of experience and excellent communication skills.

Qualifications

• Competent in SQL and Python for data transformation and analytics.
• Understanding of data modelling concepts like star schema.
• 1+ year experience with relational databases and designing schemas.
• Ability to debug and optimize slow queries.
• Familiarity with AWS or cloud-based data services.
• Excellent communication skills for collaboration.
• Strong problem-solving and analytical mindset.
• Experience with visualization tools like Power BI.
• Experience structuring APIs with Django or Flask.
• Familiarity with distributed systems like Spark.
• Knowledge of TDD in data workflows.

Responsibilities

• Design and implement data models optimized for analytics.
• Develop and maintain ELT/ETL pipelines.
• Collaborate with analysts and data scientists.
• Optimize SQL queries and workflows.
• Ensure data quality and governance.
• Document testing and reproducibility in workflows.
• Work with cloud tools and services.
• Develop dashboards and analytics tools.

Skills

SQL

Python

Data modelling

Debugging slow queries

Cloud-based data platforms

Communication skills

Problem-solving

BI tools

API structuring

Distributed systems

Testing practices

Documentation

Job description

A specialized sports analytics firm is seeking a Data Engineer to design and optimize analytics workflows. This role requires proficiency in SQL and Python for data modeling and transformation, along with experience in cloud-based platforms. The ideal candidate will contribute to data quality and visualizations to support decision-making across the business. Ideal for someone with 1+ years of experience and excellent communication skills.