Position: Data Engineer for Betsson Group
Company: Ciklum
Category: SQL
Experience required: 3y
English level: upper

Betsson team in Kyiv develops a payment system and payment solutions for our online entertainment system. Our platform supports various payment options such as VISA, Master Card, electronic wallets like PayPal, prepaid cards, bank transfers and many others. We build cloud-based solutions using the latest technologies for creating service-oriented solutions with lots of focus on transaction security and integrity. Betsson Group offers online gaming products to customers and partners all over the world and aims to deliver the best customer experience in the industry.
Being part of the Data Warehouse Team, means you will be using cutting edge technology to design and develop our data platform.

You will be involved with Data Modelling, OLAP Cube Development and maintaining and evolving our existing data warehouse. Part of Data, means you will work hand in hand with our BI and Big Data Teams to support the data requirements of the different departments and brands within the Group.

Responsibilities:
Capable of taking full Ownership and Accountability of a Data Warehouse system and its underlying data flows, databases and infrastructure
Administer a number of small Data Warehouse systems including the underlying Databases and Infrastructure
Monitor and maintain the data flows to guarantee uptime
Build and monitor data quality verification checks
Manage incidents and perform on-call duties
Actively participate in development and operational activities
Implement security and audit mechanisms to guarantee data security
Ability to work independently without supervision
Documentation for both technical continuity and for end users

Requirements:
Data Engineering knowledge ideally having good experience using Knime and Microsoft’s MSSQL Integration Services (SSIS)
Data Warehouse Modelling (Kimball) and ETL Concepts;
Using Data Integration tools, such as SSIS;
.NET or Java or Python;
Working in a super-fast paced environment