Дата-инженер (Python)

About Nexters

Nexters is an international game development company that strives to introduce the joy of core gaming experiences to casual players. In 2021 we went public and listed on the NASDAQ (GDEV). Nexters is part of the GDEV holding, which also includes Cubic Games, Royal Ark, Game Gear studios. Our people work worldwide from offices in Cyprus, Armenia, and Kazakhstan or remotely. Unfortunately, we can’t offer employment within Russia and Belarus

About your role

We are seeking a Data Engineer with 5+ years of experience. You will be responsible for designing, building, and maintaining scalable data pipelines, as well as supporting and refactoring existing solutions. The primary ownership area will be the Bronze and Silver layers of our data platform.

What you'll do:

• Design and develop batch and streaming data pipelines
• Build and maintain data ingestion from internal and external sources
• Develop and evolve data lake / data warehouse models
• Optimize performance of Spark-based data processing jobs
• Develop and maintain dbt models and data contracts
• Implement and support monitoring, observability, and data quality checks
• Work with Kafka-based streaming pipelines
• Collaborate with analytics, marketing, platform, and backend teams

What we're looking for:

• Strong SQL and Python skills
• Solid production experience building ETL / ELT pipelines
• Hands-on experience with Spark / PySpark, especially in streaming scenarios
• Understanding of distributed data processing and storage systems
• Experience working with data lake / data warehouse architectures
• Practical experience with Delta tables, Parquet, and S3
• Experience with orchestration tools such as Airflow or similar
• Experience working with Kafka and streaming pipelines
• Experience maintaining and improving production-grade data pipelines
• Experience with observability, monitoring, and data quality practices

What we offer

• Healthcare
  Medical care program (including dental service) or medical care compensation are available for you wherever you wish to work. The medical care program (basic package) is also available for your family members if you choose to work from our official locations – Cyprus, Armenia, and Kazakhstan.
• Work, life, and balance
  We offer a fair amount of paid vacation days and sick leave. You can work at one of our comfortable offices in official locations or from home.
• Sports
  You can choose various sports activities like yoga, football, and volleyball in our official locations.
• Relocation support
  A relocation package is available for you if you decide to join us in one of our official locations.
• Skills improvement
  Let's learn languages: you can visit online English language courses. Greek and Armenian language lessons are available for everyone who works in Cyprus or Armenia. Our company encourages people of Nexters to take part in game jams, hackathons, and relevant conferences and meetups as expert speakers.
• Community & ESG
  We are proud of our local communities and support employees’ social initiatives. Dream big, act big: Nexters contribute to gaming’s positive impact on the world, hold a sustainability strategy, and take part in charity projects all over the world.

Work format

In one of the company's offices in Cyprus, Armenia and Kazakhstan or remotely.

Andersen is hiring a Data Engineer for a project automating revenue reconciliation processes and enhancing financial data accuracy, transparency, and operational efficiency.

The customer is a global investment management firm providing tailored investment solutions to institutional and private clients. It combines financial expertise with long-term investment strategies to help clients achieve their objectives while adapting to changing market conditions. The organization focuses on innovation, responsible investing, and operational excellence, continuously enhancing its capabilities to deliver sustainable value and support long-term growth.

The project is focused on automating revenue reconciliation processes within a large-scale data platform initiative. It aims to ensure accurate and efficient reconciliation of payments received through external payment providers, including driver and courier balance top-ups and commission deductions, while improving financial data accuracy, transparency, and operational efficiency.

• Gathering and clarifying requirements from marketing analysts and BI, and turning them into changes to attribution logic, sources and data marts.
• Leading the migration of the attribution pipeline (dbt models, Airflow DAGs, sources) to the core DWH platform. Running old and new in parallel and reconcile them before switching over.
• Building and optimizing incremental data marts in BigQuery (dbt/SQL) and Airflow, including recalculations and backfills.
• Designing and implementing data quality checks and investigating discrepancies against product and source data.
• Performing deep-dive analysis of external inputs (AppsFlyer, ad network cost feeds, Google Sheets dictionaries, upstream marts) to keep data flowing reliably from source to consumption.
• Participating in testing, data validation and release processes, including repointing downstream consumers.
• Maintaining technical documentation for the domain and spreading knowledge across the team.

• Experience as an Analytics Engineer / DWH Engineer / Data Analyst working with DWH for 3+ years.
• Hands-on experience with data warehouses.
• Strong understanding of DWH architecture and data layers (ODS, Data Marts).
• Understanding of incremental loads, historical data handling and deduplication.
• Expert SQL skills.
• Experience designing and optimizing data marts.
• Experience with BigQuery or similar columnar DB.
• Experience with dbt on large incremental projects.
• Experience migrating pipelines between platforms with data parity validation.
• Experience with Airflow or a similar orchestration tool.
• Knowledge of Python for data processing and ETL tasks.
• Ability to work with stakeholders and translate business needs into data requirements.
• Level of English – from Intermediate+ or above.

• Experience working with mobile and marketing attribution data using AppsFlyer, Adjust, or Branch, including ad network cost data, SKAN, and ATT.
• Familiarity with ad fraud detection and analytics, particularly AppsFlyer Protect360.
• Experience with GCP, including Cloud Storage and Dataform.
• Experience with analytics and BI tools such as Lightdash, Looker, and Tableau.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• Private health insurance and sports compensation, depending on the type of employment.

Join us!