Senior Data Engineer

Growth Leads

. Design and own the medallion framework: Bronze for raw landing, Silver for cleaned and conformed data, and Gold for business-ready marts .

Posted 10/7/2026full-timeRemote • MaltaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing medallion architecture, focusing on data modeling, transformation, and integration. Proficient in SQL and Python for data engineering tasks, with a strong emphasis on data quality and automation.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython DevelopmentMedallion Architecture DesignData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingTransformation ModelsAirflowDbtBigQuerySnowflakeRedshiftClickHouse

Soft Skills

Communication Skills

Tools & Technologies

GitCI/CDSparkPySparkDatabricksDelta LakeAWSTerraform

Industry Keywords

IGamingAffiliate Marketing

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Design and own the medallion framework: Bronze for raw landing, Silver for cleaned and conformed data, and Gold for business-ready marts
Design the core dimensional model of facts and dimensions, including traffic, clicks, registrations, deposits, commissions, and costs, with clear grain and conformed keys
Build tested and documented transformation models with agreed business definitions
Write and maintain Airflow DAGs
Use ClickHouse for high-volume event data
Add data quality checks and alerts
Help integrate new data sources
Participate in architecture discussions and code reviews
Own the data model that turns raw data into trusted, business-ready numbers

Requirements

What you’ll need

At least 4 years' working experience as a Data Engineer or Data Warehouse developer
Working experience in the iGaming or affiliate marketing industry
Excellent, confident SQL, including complex joins, window functions, and query tuning on large datasets
Very good, production-level Python for pipelines, API integrations, and automation
Hands-on experience with dbt, Airflow, and BigQuery, or Snowflake or Redshift
ClickHouse experience is a plus
Strong data modelling skills: star schemas, fact grain, conformed dimensions, slowly changing dimensions, and surrogate keys
Proven experience designing and building a layered medallion architecture in production
Experience with Git and CI/CD
Experience using AI coding assistants such as Claude Code or Copilot, with review of their output
Very good communication skills in English; English is mandatory
Experience with Spark/PySpark, Databricks, Delta Lake, AWS (S3, AppFlow, Step Functions), ClickHouse, or Terraform is nice to have

Benefits

Comp & perks

Performance-based incentives
Other benefits
Flexible remote, on-site, or hybrid work arrangements
Collaborative, data-driven work environment
Work closely with engineering, product, and marketing teams