Senior Data Engineer (DWH) Job at Scalefocus (Bitola, Burgas, Plovdiv, Skopje, Sofia, Varna)

Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

Senior DWH Engineer

We are looking for a Senior Data / DWH Engineer to design, develop, and maintain...

Location

Czechia , Prague

Salary:

Not provided

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in Data Engineering and Data Warehouse development
Advanced proficiency in Python and SQL
Experience designing and maintaining ETL/ELT pipelines
Strong understanding of data modeling, OLTP, and OLAP concepts
Hands-on experience with databases such as PostgreSQL, Redshift, Athena, Trino, or SQLite
Experience with DBT, Airflow, and FastAPI
Familiarity with testing and validation approaches (e.g. PyTests, SQL validation)
Experience working in Agile environments using tools like Jira
Strong analytical, troubleshooting, and communication skills

Job Responsibility

Design, develop, and maintain data warehouse solutions, data marts, and data models
Build and optimize ETL/ELT pipelines and automated data workflows
Develop and maintain DBT-based transformation layers and DWH models
Create and maintain source-to-target mappings and technical documentation
Develop and support FastAPI-based data services and integrations
Perform data validation, reconciliation, and post-load quality checks
Optimize SQL queries and PL/pgSQL stored procedures for performance and scalability
Collaborate with technical and business teams throughout the delivery lifecycle
Support Agile delivery processes, testing, deployment, and release readiness activities
Contribute to continuous improvement of data architecture and engineering practices

Fulltime

New

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Greece

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

New