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Senior Data Engineer

Role overview

Qualifications

  • In-depth knowledge of Google Cloud Platform (GCP) services, particularly BigQuery and Dataform
  • Strong expertise in Python and SQL, including implementation, optimization, and automation
  • Experience with Informatica and ETL process migration
  • Good command of German and English, both written and spoken

Responsibilities

  • Design and develop scalable data solutions using Google Cloud Platform (GCP)
  • Develop, optimize, and maintain data models, SQL code, ETL/ELT pipelines
  • Support the migration of ETL workflows from Informatica to BigQuery/Dataform
  • Implement and maintain orchestration, CI/CD processes, and monitoring solutions

Key facts

Hard skills

Other skills

  • Communication

About the company

Qinshift logo

Qinshift

IT Services & IT Consulting

Qinshift is a global technology company with a strong European presence, aiming to solve business problems for forward-leaning companies worldwide. Our team of over 3000 genuine tech experts builds and designs software and delivers end-to-end enterprise solutions, visionary UX and UI design, reliable managed services, and innovative product development offerings. Our company also provides cutting-edge tech consultancy services. We cater to a diverse clientele, including large telecom and satellite operators, financial and banking institutions, manufacturing and automotive companies, as well as mobility and health organizations, supporting their digital transformation journey. With an ever-present human perspective, we focus on adding real value and innovative solutions to shape long-term relationships with our customers. Our delivery model is designed to ensure a seamless, multi-location delivery of solutions, even for the most challenging projects. Qinshift is part of the KKCG Technology pillar.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role

We are actively seeking a professional to strengthen our team and support the design, development, and modernization of data solutions within the Google Cloud ecosystem. In this role, you will work with BigQuery, Dataform, Python, and SQL to build and optimize data pipelines, drive ETL migration initiatives, implement automation and governance best practices, and support the integration of cloud and on-premises environments while contributing to advanced reporting and analytics capabilities.

Core skills you’ll bring

  • In-depth knowledge of Google Cloud Platform (GCP) services, particularly BigQuery and Dataform, including:

    • Data management and processing (data modeling, data pipelines, SQL development)

    • Process control and automation (orchestration, CI/CD, monitoring)

    • User access and permissions management

    • Integration between cloud-based and on-premises applications (e.g., Landing Zone → BigQuery)

    • Authentication and authorization mechanisms

  • Strong expertise in Python and SQL, including implementation, optimization, and automation of migration processes, testing, and regression testing.

  • Experience with Informatica and the migration of ETL processes to BigQuery/Dataform is considered a strong advantage.

  • Familiarity with QLIK and equivalent solutions available within the GCP ecosystem is a plus.

  • Good command of German and English, both written and spoken.

The impact you'll create

  • Design and develop scalable data solutions using Google Cloud Platform (GCP), with a focus on BigQuery and Dataform.

  • Develop, optimize, and maintain data models, SQL code, ETL/ELT pipelines, and data transformation processes.

  • Support the migration of ETL workflows from Informatica to BigQuery/Dataform, including the automation of migration, testing, and regression testing activities using Python and SQL.

  • Implement and maintain orchestration, CI/CD processes, monitoring solutions, user access management, authentication, and authorization mechanisms.

  • Support integrations between GCP and on-premises systems, and contribute to the modernization of reporting and analytics solutions.

People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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