Data Engineer at Playtech

Kyiv, , Ukraine -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Lake, DWH Architecture, OLAP, OLTP, Airflow, SQL, Data Modeling, Performance Tuning, Python, Reporting Tools, Analytics Tools, Kafka, Database Replication, Clustering, Distributed Systems, Data Validation

Industry

Software Development

Description

Company Description About Playtech Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. Ready to level up your career? Playtech's Live unit is looking for an experienced Data Engineer with great communication and creative skills. Job Description Your influential mission. You will... Design, implement and support ETL/ELT processes to move and transform data between various systems Contribute to the development of the analytics platform Collaborate with software engineers, business analysts, and other stakeholders to translate requirements into effective data solutions Implement and support ad-hoc data extraction requests and business reporting Extract and transform raw data to structured data marts Qualifications Components for success. You... Have an understanding of data lake/DWH architecture, OLAP/OLTP Have experience with Airflow or similar orchestrators Have strong understanding of RDBMS, with proven proficiency in SQL, data modeling, and performance tuning for OLAP/OLTP systems Have practical knowledge of Python (1–2 years) You'll get extra points for... Computer science degree Practical experience with reporting and analytics tools such as Superset, Tableau, Power BI, etc Knowledge of streaming platforms and tools like Kafka, Kafka-Connect, Kafka-Mirror Understanding of database replication, clustering, and distributed systems Experience working with large volumes of data and databases Experience with monitoring, quality control, and data validation Thrive in a culture that values... Possibility to work with a product company Personalised professional growth Warm and friendly attitude to every specialist Educational possibilities Competitive salary and benefits Medical insurance Fully-equipped cosy office space located in the city centre (Gulliver, “Palats Sportu” metro station) Paid vacation days, sick leaves and national holidays Corporate events and team buildings Additional Information LIVE TEAM Hi, we are a live casino, and we invite you to join us! Our team consists of highly skilled professionals who are focused on high product quality and short feedback cycles. With us, you will be able to contribute to our product, make architectural and technical decisions, and grow as a specialist in your main field of expertise as well as in related areas. Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

Responsibilities

Design, implement, and support ETL/ELT processes to move and transform data between various systems. Collaborate with software engineers and business analysts to translate requirements into effective data solutions.