Data Engineer

Sporty Group; United Kingdom; Remote; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Engineer to enhance their data processing capabilities. In this role, you will design and maintain robust data pipelines essential for machine learning and data science initiatives. You will work collaboratively with data scientists and engineers to ensure high-quality data delivery and support the growth of a globally recognized sports betting platform. This position offers a dynamic work environment, allowing for flexible hours and the opportunity to make a significant impact within a talented team. If you are passionate about data and technology, this is the perfect opportunity for you.

Benefits

Quarterly bonuses

Flexible working hours

Top-of-the-line equipment

Referral bonuses

28 days paid annual leave

Annual company retreat

Global, multicultural work environment

Payment via DEEL

Qualifications

• 3+ years of experience in data engineering or related domain.
• Proficient in SQL and familiar with Python for scripting.

Responsibilities

• Design and maintain scalable ETL and data pipelines.
• Ensure data quality, accuracy, and consistency.
• Implement internal process improvements for data delivery.

Skills

Data Engineering

SQL

Python

Data Modelling

ETL Processes

API Integration

Cloud Data Services

NoSQL Databases

Apache Airflow

Apache Spark

Education

Bachelor's degree in Computer Science

Equivalent experience in a related field

Tools

AWS

Apache Airflow

Apache Spark

Job description

Join to apply for the Data Engineer role at Sporty Group.

We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in.

With millions of weekly active users, we strive to be the best in industry for our users.

As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

Who We Are
Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.

The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.

We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.

Responsibilities

1. Design, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures for various parts of our business, on fast and versatile data sources with millions of changes per day.
2. Ensure all data provided is of the highest quality, accuracy, and consistency.
3. Identify, design, and implement internal process improvements for optimising data delivery and re-designing infrastructure for greater scalability.
4. Build out new API integrations to support continuing increases in data volume and complexity.
5. Communicate with data scientists, MLOps engineers, product owners and BI analysts in order to understand business processes and system architecture for specific product features.

Requirements

1. Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics, or a related technical field.
2. 3+ years of experience in data engineering, data platforms, BI or related domain.
3. Experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects.
4. Experience with large-scale production relational and NoSQL databases.
5. Experience with data modelling.
6. General understanding of data architectures and event-driven architectures.
7. Proficient in SQL.
8. Familiarity with one scripting language, preferably Python.
9. Experience with Apache Airflow & Apache Spark.
10. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda.

Nice to have

1. Understanding of ML Models.
2. Understanding of containerisation and orchestration technologies like Docker/Kubernetes.
3. Relevant knowledge or experience in the gaming industry.

Benefits

1. Quarterly bonuses.
2. We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this.
3. Top-of-the-line equipment.
4. Referral bonuses.
5. 28 days paid annual leave.
6. Annual company retreat.
7. Highly talented, dependable co-workers in a global, multicultural organisation.
8. Payment via DEEL, a world class online wallet system.
9. Our teams are small enough for you to be impactful.
10. Our business is globally established and successful, offering stability and security to our Team Members.

Our Mission

Our mission is to be an everyday entertainment platform for everyone.

Our Operating Principles

• Create Value for Users
• Act in the Long-Term Interests of Sporty
• Focus on Product Improvements & Innovation
• Be Responsible
• Preserve Integrity & Honesty
• Respect Confidentiality & Privacy
• Ensure Stability, Security & Scalability
• Work Hard with Passion & Pride

Interview Process

1. Online HackerRank Test (Max time of 90 Minutes).
2. Remote video screening with our Talent Acquisition Team.
3. Remote video interview with 3 x Team Members (45 mins each, not separate days).
4. 24-72 hour feedback loops throughout process.

Post Interview Process

1. Feedback call on successful interview.
2. Offer released followed by contract.
3. ID Check Via Zinc & 2 references from previous employers.

Working at Sporty

The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.

Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.

As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.

We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.