Data Engineer (AWS, dbt, Redshift)

Cyclad • Paid as a contractor rate • SQL • Dimensional Modeling • 20 days ago
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Salary
$60k – $70k per year
Location
Remote (Poland)
Employment
Full-Time
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Cyclad

Cyclad is a Polish technology consulting and recruitment company that supplies engineers and specialists to clients across Europe, with a focus on aviation, automotive, energy and financial services. Its work spans permanent and contract placement, managed engineering teams and outsourced delivery, covering software development, embedded engineering, quality assurance, infrastructure and business analysis. Headquartered in Warsaw with offices elsewhere in Poland and western Europe, it advertises a large volume of client vacancies under its own name and recruits across several European labour markets at once.
cyclad.eu • HQ: Warsaw, Poland • Engineering Services • Recruiting & Staffing • Science & Engineering • Professional Services • Information Technology • IT Outsourcing • 51-200 employees

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Data Engineer to design, build, and maintain scalable ELT pipelines and enterprise data warehouse solutions within a cloud-based analytics environment. This role requires expertise in data warehousing, Amazon Redshift, Amazon S3, dbt, Apache Airflow, and dimensional modeling principles.

Project information:

  • Type of project: IT Services

  • Office location: Poland

  • Work model: Remote from Poland

  • Budget: 110 - 130 PLN net/ h - b2b

  • Project length: till the end of 2027, possible to extend it

  • Only candidates with citizenship in the European Union and residence in Poland

  • Start date: ASAP

Project scope:

  • Develop and maintain ELT pipelines from source systems (Cloudera/MinIO) to Amazon S3 and Amazon Redshift

  • Build and maintain data warehouse layers, including Staging, Intermediate, Business View, and Dimensional Models

  • Implement fact tables (Transactional, Accumulating Snapshot, and Periodic Snapshot) and Type 1 & Type 2 Slowly Changing Dimensions based on established data models

  • Develop data transformations using dbt and orchestrate workflows using Apache Airflow

  • Write, optimize, and troubleshoot SQL queries, including inner, self, and outer joins

  • Work with Amazon Redshift for data loading, transformation, and performance optimization

  • Manage and process data stored in Amazon S3 and Apache Iceberg tables on the MinIO platform

  • Support the migration of data pipelines from Cloudera to the MinIO platform

  • Collaborate with architects, data modelers, and business teams to deliver reliable and high-quality data solutions

Competence demands:

  • Strong hands-on experience with Amazon S3, Amazon Redshift, dbt and Apache Airflow

  • Advanced SQL (Inner, Self, Left, Right, and Full Outer Joins)

  • Strong understanding of Data Warehousing concepts, Fact and Dimension implementation, Slowly Changing Dimensions (Type 1 & Type 2), ETL architecture best practices

  • Working knowledge of Kimball Dimensional Modeling

  • Experience with Cloudera, MinIO, and Apache Iceberg

  • ELT/Data Pipeline Development

  • Very good English skills

We offer:

  • Remote working model

  • Dynamic and innovation-driven engineering environment

  • Full-time job agreement based on b2b

  • Private medical care with dental care (covering 70% of costs)

  • Multisport card (also for an accompanying person)

  • Life insurance

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