Analytics Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

Offered From the posting source checked Jun 20, 2026

Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Analytics Engineer Limassol, Lemesos, Cyprus Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole. Now we look for a Analytics Engineer to join our team. Job Responsibilities - Transform business requirements into data models and ETL processes - Develop and maintain data marts (Spark, Iceberg, Clickhouse) using DBT - Write and optimize SQL queries for analytical tasks - Document data models and business logic - Ensure data quality through automated tests - Collaborate with analysts to understand data needs - Optimize ETL pipelines and query performance - Monitor and troubleshoot data pipeline issues - Participate in code reviews and develop team best practices You'll thrive here if you have SQL (advanced level): - Complex analytical queries (window functions, CTEs, subqueries) - Knowledge of OLAP systems specifics - Understanding of execution plans and performance optimization (as a plus) Python (intermediate level): - Data processing (pandas, polars) - Task automation (Airflow) DBT - Building transformation DAGs - Incremental models and snapshots - Model documentation - Data testing experience will be a plus Analytical thinking: - Understanding business processes and their reflection in data - Ability to translate business requirements into technical solutions - Knowledge of metrics and KPIs That can be a plus: - Spark, including PySpark -

Read the full description at mayflower.recruitee.com. FewerJobs shows a preview and links to the original posting.