🔥 SENIOR ANALYTICS ENGINEER
📍Remote
💸 6,000–8,500 gross/month + annual bonus
About the role
We're fixing broken data pipelines. No "vision" – just code rescue. You'll join a Customer Data & Intelligence team to refactor legacy SQL/Python mess into clean, tested dbt models.
What you'll do (first 2 months)
Audit & patch failing pipelines (AWS Glue/Databricks)
Move critical tables from stored procedures → dbt (staging → marts)
Deploy automated data quality tests (dbt expectations / Great Expectations)
Must have
Expert SQL (rewrite 1000-line spaghetti queries)
dbt (setup from scratch, project structure)
Python / PySpark (fix & optimize)
AWS (S3, Athena, IAM)
CI/CD (automated tests on commit)
Why you?
You hate manual checks. You see messy legacy code as a puzzle – not a problem.
📩 @FreeHRarka
#DataEngineer #AnalyticsEngineer #dbt #SQL #PySpark #AWS #CyprusJobs #Limassol #RemoteCyprus #DataQuality
📍Remote
💸 6,000–8,500 gross/month + annual bonus
About the role
We're fixing broken data pipelines. No "vision" – just code rescue. You'll join a Customer Data & Intelligence team to refactor legacy SQL/Python mess into clean, tested dbt models.
What you'll do (first 2 months)
Audit & patch failing pipelines (AWS Glue/Databricks)
Move critical tables from stored procedures → dbt (staging → marts)
Deploy automated data quality tests (dbt expectations / Great Expectations)
Must have
Expert SQL (rewrite 1000-line spaghetti queries)
dbt (setup from scratch, project structure)
Python / PySpark (fix & optimize)
AWS (S3, Athena, IAM)
CI/CD (automated tests on commit)
Why you?
You hate manual checks. You see messy legacy code as a puzzle – not a problem.
📩 @FreeHRarka
#DataEngineer #AnalyticsEngineer #dbt #SQL #PySpark #AWS #CyprusJobs #Limassol #RemoteCyprus #DataQuality
🔥 SENIOR DATA ENGINEER (MICROSOFT FABRIC) 🔥
📍 Location: Remote (Timezone: UK / CET)
💵 Salary: $5,000 – $9,000 (Gross)
🏢 Client: BAT (British American Tobacco) — global FMCG leader.
🚫 Important: Candidates from Russia and Belarus will not be considered.
About the Project:
We are building a modern Data Warehouse and Lakehouse on Microsoft Fabric from scratch. You will work with terabytes of data, migrating from legacy ETL processes to a cutting-edge Medallion Architecture (Bronze/Silver/Gold). Full-cycle development: from infrastructure setup to CI/CD.
🛠 Tech Stack:
Core: Microsoft Fabric (OneLake, Data Factory, Synapse).
Processing: Apache Spark (PySpark), Dataflow Gen2.
Languages: Python, SQL (T-SQL).
Storage: Delta Lake (Parquet), Lakehouse / Data Warehouse.
DevOps: Git, Azure DevOps / GitHub Actions, Docker.
Visualization (Nice to have): Power BI.
💼 Key Responsibilities:
Design and build end-to-end DWH architecture from scratch (Medallion Layers).
Develop robust ETL/ELT pipelines using ADF and Dataflow Gen2.
Write and optimize high-performance PySpark code for large-scale data transformations.
Optimize T-SQL queries within Synapse Data Warehouse.
Configure Fabric Shortcuts for integration with AWS S3 / GCP.
Implement CI/CD processes for infrastructure and code deployment.
✅ Requirements:
5+ years of commercial experience in Data Engineering.
Deep expertise in Microsoft Azure and the Fabric ecosystem.
Strong experience with Apache Spark (PySpark).
Solid understanding of Lakehouse and Data Warehousing patterns.
Hands-on experience with CI/CD (Azure DevOps / GitHub Actions).
English: Upper-Intermediate+ (daily communication with an international team).
🤝 What We Offer:
Fully remote work.
International cross-functional team environment.
Modern tech stack with the opportunity to influence architectural decisions.
📩 Please send your CV and contact details to: @HRFreelancerr
#Vacancy #DataEngineer #MicrosoftFabric #Azure #PySpark #DataWarehouse #Remote #BAT #BigData #ETL #DevOps #DataJobs #Fabric #Synapse #Lakehouse #Hiring #TechJobs
Контакты: @HRFreelancerr
📍 Location: Remote (Timezone: UK / CET)
💵 Salary: $5,000 – $9,000 (Gross)
🏢 Client: BAT (British American Tobacco) — global FMCG leader.
🚫 Important: Candidates from Russia and Belarus will not be considered.
About the Project:
We are building a modern Data Warehouse and Lakehouse on Microsoft Fabric from scratch. You will work with terabytes of data, migrating from legacy ETL processes to a cutting-edge Medallion Architecture (Bronze/Silver/Gold). Full-cycle development: from infrastructure setup to CI/CD.
🛠 Tech Stack:
Core: Microsoft Fabric (OneLake, Data Factory, Synapse).
Processing: Apache Spark (PySpark), Dataflow Gen2.
Languages: Python, SQL (T-SQL).
Storage: Delta Lake (Parquet), Lakehouse / Data Warehouse.
DevOps: Git, Azure DevOps / GitHub Actions, Docker.
Visualization (Nice to have): Power BI.
💼 Key Responsibilities:
Design and build end-to-end DWH architecture from scratch (Medallion Layers).
Develop robust ETL/ELT pipelines using ADF and Dataflow Gen2.
Write and optimize high-performance PySpark code for large-scale data transformations.
Optimize T-SQL queries within Synapse Data Warehouse.
Configure Fabric Shortcuts for integration with AWS S3 / GCP.
Implement CI/CD processes for infrastructure and code deployment.
✅ Requirements:
5+ years of commercial experience in Data Engineering.
Deep expertise in Microsoft Azure and the Fabric ecosystem.
Strong experience with Apache Spark (PySpark).
Solid understanding of Lakehouse and Data Warehousing patterns.
Hands-on experience with CI/CD (Azure DevOps / GitHub Actions).
English: Upper-Intermediate+ (daily communication with an international team).
🤝 What We Offer:
Fully remote work.
International cross-functional team environment.
Modern tech stack with the opportunity to influence architectural decisions.
📩 Please send your CV and contact details to: @HRFreelancerr
#Vacancy #DataEngineer #MicrosoftFabric #Azure #PySpark #DataWarehouse #Remote #BAT #BigData #ETL #DevOps #DataJobs #Fabric #Synapse #Lakehouse #Hiring #TechJobs
Контакты: @HRFreelancerr