Senior Data Engineer

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São Paulo | Sofia

Who are You?

You are passionate about leveraging data to drive business success. We are currently seeking a dynamic and experienced Data Engineer to join our team and be part of a team leading the data-driven decision-making initiatives and who will play a pivotal role in driving the growth and success of their organization.

In this role you will be able to leverage your data engineering experience, working with massive volumes of data. In the team, you will be working with senior members with 10+ years of experience, which are willing to share their knowledge and support the new hires.

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.

The Data Engineer function are 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.

What we’re looking for

At least 5 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

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. With offices in Malta, Bulgaria, London, Brazil and Portugal, 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

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.

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