Intern Data Engineer (Python)

About TaxDome

How we work

About this role

Our tech stack

• Cloud: Google Cloud Platform (BigQuery, GCS, GKE/Kubernetes)
• DWH: BigQuery (cross-region, column-level security, PII masking)
• Transformations & data load: dbt & Python
• Orchestration: Apache Airflow on Kubernetes, Python ETL
• BI: Data Studio
• Process: GitLab, CI checks for layer architecture, AI-assisted code review
• AI: Claude Code, LLM-driven development and analytics

What you'll be responsible for

• Onboard new data sources end to end — from raw ingestion to certified marts.
• Advance data quality: tests, contracts, metrics dashboards, and anomaly monitoring.
• Contribute to warehouse architecture evolution: conventions, code review, documentation, and AI-ready data contracts.
• Build and maintain dashboards for product and business teams; design metrics and bring them to self-service.
• Drive analytical work from business question to reproducible analysis with a clear decision recommendation.
• Develop models and analyses with AI assistants (Claude Code and similar) as a primary workflow, not a shortcut.
• Help build AI-native team processes: automating routine work, agentic pipelines for documentation, testing, and ad-hoc analysis.
• Act as the translator between business questions and data model design.

What you bring

Must-have

• Proven depth in data roles — analytics engineering, data analysis with an engineering orientation, or data engineering with strong analytical capability.
• Advanced SQL — you write and review complex queries comfortably and reason about performance trade-offs.
• Hands-on production experience with dbt: incremental models, snapshots, tests, macros, and project organisation.
• Experience designing DWH layers and reasoning about trade-offs: normalisation vs. marts, full rebuild vs. incremental, SCD2.
• Python for ETL tasks and data analysis.
• Experience building dashboards and metrics with the ability to drive analysis through to a decision — not just a table.
• Real, embedded experience working with AI assistants in your daily workflow — LLMs as a core tool, not an occasional experiment.
• Experience with Airflow or another orchestration platform
• Advanced stakeholder and project management: able to take a vague business problem, decompose it into a plan, and drive it to completion independently.

Nice-to-have

• SaaS product analytics background: PLG metrics, funnel analysis, cohort modelling.
• Experience with GA4, HubSpot, or Stripe data.
• Understanding of data privacy requirements: GDPR, PII masking, policy tags.
• Experience building agentic pipelines or automations on top of LLM APIs.

What we offer

• Competitive compensation, paid in USD, transparently shared before the first interview
• Performance-based incentive plan
• Fully remote work with flexible hours
• 30 paid days off annually, plus sick days as needed
• Health & well-being support
• Learning & development budget to support your professional growth
• English lessons reimbursement
• Co-working space reimbursement
• Company-provided equipment (conditions may vary depending on the role)
• A high level of autonomy and ownership in your work
• The opportunity to make a real impact in a fast-growing global SaaS company
• A collaborative, international team with a strong product mindset

AI Platform is one of our most forward-looking teams. It owns the shared infrastructure and platform layer that AI work across the company runs on — everything from how LLMs are used and measured to the knowledge and retrieval systems built on top of them.

 

A large share of the work is data engineering, because there's a lot of information to move, process and make sense of: LLM usage and cost analytics (tokens, cache, spend), and applied systems like contextual knowledge bases and vector search.

 

Playrix works with roughly 7 petabytes of data.

• PySpark, Databricks, dbt, Redshift, RDS, PostgreSQL


• AI: Claude, KimiK3, and Codex with configured repository rules, a growing catalog of specialized skills, and agentic modes for specific tasks. MCP integrations with internal infrastructure (GitHub, Asana, Amplitude, etc.). Agentic workflows cover the entire cycle—from generating game elements and automated tests to automatically creating and reviewing PRs

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  The opportunity for continuous development in a team of 500+ professional engineers: we have a huge knowledge base and a mentoring system that allows you to adapt quickly.
  

  
  


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  Ability to move between areas and not only within development (Project Management, marketing, etc.).
  

  
  


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  Tasks that require you to make safe and effective architectural decisions as well as opportunities to apply interesting programming approaches.
  

  
  


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  An emphasis on developing each specialist's product ideas Time to play the games that you're developing, so you can envision how this or that feature will work for the user.
  

  
  


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  The ability to switch out processes and approaches for more efficient ones without lengthy approvals or bureaucracy.
  

  
  

Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment.

Responsibilities

• Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark)

• Support data platform in terms of data integrations, data quality, technical implementation

• Conduct new data integrations

• Ensure data quality

• Documenting your solutions

• Provide support to analytic teams

Important/challenging tasks:

• build redundant data transformation pipelines across different domains and centralised Operational Data Store

You’ll thrive here if you have

• At least 3 years working as a data engineer

• Python programming (outside of Airflow)

• Working with docker

• SQL advanced

• Kafka, Airflow, Spark

• dbt as a plus

• Column store DBs (clickhouse as a plus)

• S3/iceberg as a plus

• Understanding how web applications work

Qualification that can be a plus:

• Working with k8s (as a plus)

• Experience with data-mesh approach

Conditions

We know that great talent deserves great conditions, so here's what you can expect when joining us:

• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.

• EU passport. Opportunity to obtain an EU passport after 4 years of residence

• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.

• Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.

• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.

• Private medical insurance for you and your family

• Corporate mobile plan (unlimited in Cyprus with roaming included)

• Mindfulness & well-being support, including psychological assistance with 50% coverage.

• 50% coverage of school and kindergarten fees for your children.

• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals

• Professional growth support: language courses, conferences, training programs, and coaching.

• Peer recognition program: receive and share kudos for great work.

• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.

• Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.

• A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.