mayflower

Data Engineer (Python)

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 be…

mayflower · На сервисе с: 03.10.26 17:21

Зарплата не указанаКипрLimassol

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.

Похожие вакансии Data Engineer

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T

Intern Data Engineer

tabbyНа сервисе с: 03.10.26 18:02
Зарплата не указанаСаудовская АравияRiyadhОфис

About the role

About the company

Tabby builds financial products used by millions of users across the GCC. Data is a core part of how products, risk, finance and operations are built and scaled. We work with large volumes of data under strict requirements for quality, cost efficiency and regulatory compliance.

This is not a course and not a shadowing programme. It is an engineering role with real responsibility.

Context

Data engineers at Tabby work on the analytics and data platforms behind business decisions, product development and machine learning use cases. That covers data modelling, data pipelines, data quality and consumption by several internal teams.

The internship is designed for strong early-career engineers who want to grow into data engineering roles. Interns join a real data team, work with production datasets and are expected to meet engineering standards from day one.


Responsibilities

This is not a helper or reporting-only role. Interns work on real production tasks under senior review.
  • Develop and maintain analytical data models
  • Work with SQL-based transformations and data pipelines
  • Contribute to data quality checks and validation logic
  • Help build and maintain data products used by business and engineering teams
  • Work with orchestration tools and scheduled data workflows
  • Take part in discussions about data modelling, metrics and definitions
  • Investigate data issues and help identify root causes
  • Improve the reliability and cost efficiency of data processing

Qualifications

Required

  • Strong fundamentals in SQL
  • Good working knowledge of Python for data processing
  • Understanding of relational data models and basic data modelling concepts
  • Understanding of how analytical data is used for reporting and decision-making
  • Ability to read, understand and modify existing data pipelines or models
  • Experience with Git and standard development workflows
  • Structured thinking and attention to data correctness
  • Open to constructive feedback
  • English sufficient for documentation and team communication

Strong plus

  • Familiarity with analytical data modelling approaches (star schema, slowly changing dimensions)
  • Experience with data transformation tools (dbt or similar)
  • Experience with workflow orchestration tools (Airflow or similar)
  • Familiarity with cloud data warehouses (BigQuery or similar)
  • Exposure to BI tools or data visualisation
  • Interest in data quality, metrics and data platform design

What we do not expect

  • Expert-level SQL or Python
  • Prior professional data engineering or analytics engineering experience
  • Mastery of all listed tools (dbt, Airflow, BigQuery, BI platforms)
  • Deep knowledge of data warehouse internals or distributed data processing

Eligibility

  • Saudi nationals only
  • We welcome both current students and fresh graduates
  • We expect a full-time level of engagement. The programme is not part-time. Students can align time for classes or exams with their mentor in advance, but performance, ownership and involvement are expected at a full-time level

Benefits

  • Six months, starting autumn 2026
  • Paid internship, funded by Tabby
  • Full integration into an engineering team
  • Distributed engineering team across multiple countries
  • Saudi passport required.
  • A path to a junior data engineer or analytics engineer role afterwards. That is our intent and what we aim for, not a guarantee: it depends on how the internship goes
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in data engineering.


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playrix

Senior Data Engineer

playrixНа сервисе с: 03.10.26 17:51
Зарплата не указанаНе указана странаЛокация не указана




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.



  • Building and owning data pipelines and the platform layer that AI products across the company depend on

  • Analytics on LLM usage — cost, token and cache economics, financial reporting on AI spend

  • RAG systems: contextual knowledge bases, vector and semantic search infrastructure

  • Making the platform operable — profiling, monitoring, observability of the pipelines you own

  • Building interfaces and services on top of the data, not just landing it (auth, APIs, interactive access for consumers)
  • Strong commercial data engineering experience with a modern stack — e.g. Databricks, dbt, Airflow, Dagster, Greenplum, Snowflake, or similar

  • Confident Python, plus a working backend mindset: how authorisation works, how a service is exposed and consumed. We're looking for a data engineer who is comfortable building something interactive, not only delivering datasets downstream

  • Practical understanding of how to profile and monitor data systems in production

  • Real understanding of the AI/LLM layer — vector databases, embeddings, contextual and semantic search, RAG architectures, how autonomous agents work. This is an AI Platform team: we expect conceptual grasp of these technologies, not just having used a coding assistant

  • Cloud experience (AWS ideally)





    • 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








    • 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.





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





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





    • 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.





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



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    indrive

    Senior Analytics Engineer

    indriveНа сервисе с: 03.10.26 16:54
    Зарплата не указанаГрузияАлмати (край Кахетия)

    About the role

    We’re looking for an Analytics Engineer to join our Data Engineering team.

    Responsibilities

    • Foster a culture of working with data across the organization, ensuring data-driven decision-making
    • Create and maintain a unified system for processing, storing, and validating data, ensuring data integrity and accessibility
    • Design and build processes for processing and enriching data, participating in all stages of the data pipeline from data capture to consumer presentation
    • Develop and maintain infrastructure for big data storage and processing using tools like Kubernetes (K8S) and Terraform
    • Create and optimize APIs (REST, gRPC) for high-load data access services, enabling efficient data retrieval
    • Write integration and unit tests, develop automation tools for data validation and alerting
    • Сontribute to system design and architecture with the development team

    Qualifications

    • Advanced proficiency in Python 3.7+ with strong experience in developing ETL processes using PySpark
    • Proven experience in developing data flows using Airflow2
    • High level of expertise in SQL, including complex queries and optimization
    • Extensive knowledge and industrial experience with Kubernetes (K8S)
    • Strong understanding of data processing algorithms and principles, with experience in Spark/Flink
    • Solid understanding of general programming concepts, including design patterns, OOP, modularity, and pure architecture
    • Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team

    Benefits

    • Help us challenge injustice by creating fair choices for millions of people across 47 countries
    • Develop your professional skills with access to mentoring, career consulting, and learning programs
    • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
    • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
    • Work alongside people who take initiative, speak openly, and challenge themselves to grow
    • Improve your language skills through co-financed courses and internal speaking clubs
    • Annual salary from 49 100 EUR gross
    Final benefits may vary depending on the location.

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