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Data Engineer

We are looking for a Data Engineer with broad technical skills to dive deep into large amounts of data and the desire to influence main decisions with data-driven analysis. You will report to the Technical Director and collaborate with the Marketing & Commercial Analytics team to implement data strategies, develop complex ETL pipelines and support dashboards that promote deeper understanding of our games.

You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses and have the ability dealing with huge volumes of game data. You will work with leaders from our organization by providing them with data to understand campaign and commercial performance across multiple channels and territories.

Responsibilities:

• You will be involved in the entire development life cycle from brainstorming ideas to implementing elegant solutions to obtain data insights
• You will gather requirements, model and design solutions to support reporting analytics and exploratory analysis
• You will design, build, and launch reliable data pipelines to move and transform data
• You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation
• You will support production code to produce comprehensive and accurate data artefacts.
• You will oversee the process of adoption of new technologies and applications we use to collect, integrate, analyze, and provide solutions.
• You will guide communications between our users and studio engineers to provide scalable end-to-end solutions.
• You will promote strategies to improve our data modelling, quality and architecture
• You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools.
• Explore data and suggest new opportunities to measure and assess the performance of our marketing and commercial actions

Qualifications:

• 4+ years relevant industry experience in data engineering role who has Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions.
• Experience in data modelling, ETL processes, and data warehousing.
• Experience with at least one of the programming languages like Python or Java
• Experience with business intelligence tools like Power BI, Looker, Tableau or similar BI tools.
• Experience working with unstructured datasets
• Experience in the physical and logical design of database architecture for relational databases, data warehouses and data lakes.
• Knowledge of latest data pipeline tools such as Airflow.
• Comfortable working with a multi-functional team, both locally and remote.
• Experience working in an agile development environment and familiar with Process Management tools such as JIRA, Target process, Trello or similar