Data Engineer

• *We Are Sportingtech:**

Sportingtech is a multi-award-winning provider of turnkey betting and gaming solutions designed for regulated and emerging markets around the world. Our iGaming platform offers everything covering sportsbook and casino via a modular system and intuitive back office for a fully omni-channel solution. Our unparalleled ability to cater for local-market customisation and operator preferences provides players with an optimal betting experience, resulting in proven growth for our rapidly expanding customer base.

• Who are you?*

You are a curious and detail-oriented Data Engineer with a passion for turning complex data into meaningful, reliable insights. With a strong foundation in data engineering principles and hands-on experience building and maintaining scalable data pipelines, you thrive in environments where data is at the core of decision-making. You are comfortable working across the full data lifecycle – from ingestion and transformation to storage and delivery – and take pride in writing clean, efficient, and well-documented code.

You bring solid experience with modern data technologies such as Python, SQL, and distributed computing frameworks, and you enjoy solving complex data challenges at scale. You are proactive in identifying opportunities to improve processes, optimise performance, and enhance data quality. A collaborative team player, you work closely with cross-functional stakeholders to understand business needs and translate them into robust data solutions that drive impact.

• Where you fit in:*

The data team is responsible for maintaining and developing end-to-end data and business intelligence solutions. The team is made up of highly skilled professionals who are dedicated to ensuring that our organization’s data is accurate, reliable, and easily accessible. DWH work closely with other departments to understand their data needs and provide them with the information they require to make informed decisions. You will be focused on the collecting, storing, processing and preparing datasets for analysing world class products – features adoption, client’s acquisition and behaviour, customers lifetime value etc. You will oversee the ingestion, transformation, delivery, and movement of data throughout every part of an organization. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

• The impact you will have
• You will develop and maintain the different data pipelines in order to ensure the quality and accuracy of our product analytics, as well as build datasets for reports and visualizations for internal use and external customers.
• Build the infrastructure required for optimal extraction, transformation, and loading of large volumes of data from a wide variety of data sources – both internal and external
• Proactively identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Develop ETL monitoring and testing in order to troubleshoot and resolve data-related issues, ensuring data quality and availability
• Work on integrating all data into third-party systems, ensuring accessibility and ease of use for the relevant teams.
• What we’re looking for
• At least 2 years of experience in Dev engineering role
• Experience with feature engineering and data pipelines using Python, SQL, Scala and similar programming language
• Strong knowledge of distributed computing frameworks, like Apache Spark, Hadoop and Hadoop YARN, for managing and processing big data sets
• Experience in data acquisition (API calls/FTP downloads), ETL, transformation / normalization (from raw to DB table schema structure), storage (Raw files, Database server), distribution & access (Entitlements for users, build of API’s and access points for data)
• Experience in data management – clean and commented code, version control, documentation, automated testing and deployment etc.
• Familiar with the design (dimensional modeling and schema design) and optimization of databases or data warehouses – including handling and logging errors, system monitoring
• Experience with event-driven technologies and streaming such as RMQ and/or Kafka is a big advantage
• Sportingtech is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, colour, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances. By applying for a role at Sportingtech, you acknowledge and agree to the terms of our Candidates and Employees Privacy Policy. Please read this policy carefully to understand how we handle your personal data*