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Avenga x Qinshift career site
Krakow · Fully Remote

Senior Data Engineer

Your journey matters – start it with us

  • This is us

    At Qinshift and Avenga we are merging together to start a new era of technology that matter. Leveraging the power of innovations, we are on a journey to shape the future of work, and we are inviting you to co-create it with us.


    This is you
  • Results-driven Data Engineer with expertise in Machine Learning (ML) and Generative AI model training, testing, and implementation within the Snowflake ecosystem. Specialized in building scalable ETL/ELT pipelines, data warehousing, and real-time analytics for financial institutions. Proficient in cloud-based data engineering, orchestration, and optimization of credit risk assessment, fraud detection, and predictive analytics solutions.
  • Data modeling and semantic layer design for Power BI & Snowflake
    Cloud-native data architectures (Snowflake, OCI, GCP, AWS, Azure - One of them is enough with focus on OCI)
  • Real-time & batch data processing (ClickHouse, PostgreSQL, MySQL, MSSQL)
    - Machine Learning & Advanced Analytics ML model deployment & MLOps (Snowflake ML, Python, Scikit-learn, TensorFlow)
  • Credit risk scoring & anomaly detection (Power BI, SQL, Python)
  • Predictive analytics & real-time fraud detection
  • Feature engineering & model optimization
    - Financial Data & Compliance
  • Regulatory compliance (GDPR, FCRA, Basel, KSA regulations)
  • Credit risk modeling & real-time risk assessment
  • Banking data preparation & fraud detection pipelines
  • - Development & DevOpsGit, Bitbucket, CI/CD for data workflows
    API integrations & streaming architectures (Kafka, Snowpipe)
  • Cost optimization strategies for Snowflake compute usage


This is your role

  • ETL/ELT pipeline development using dbt, Airflow, and Python
  • Data modeling and semantic layer design for Power BI & Snowflake
  • Cloud-native data architectures (Snowflake, OCI, GCP, AWS, Azure - One of them is enough with focus on OCI)Real-time & batch data processing (ClickHouse, PostgreSQL, MySQL, MSSQL)- Machine Learning & Advanced Analytics
  • ML model deployment & MLOps (Snowflake ML, Python, Scikit-learn, TensorFlow)Predictive analytics & real-time fraud detectionFeature engineering & model optimization
  • Financial Data & ComplianceCredit risk modeling & real-time risk assessmentBanking data preparation & fraud detection pipelines
  • Development & DevOps Git, Bitbucket, CI/CD for data workflows
  • API integrations & streaming architectures (Kafka, Snowpipe)
  • Cost optimization strategies for Snowflake compute usage

 

We take pride in the diverse skills and character of our teams, welcoming everyone to apply and contribute to our collective strength.

Locations
Krakow
Remote status
Fully Remote
Seniority
Senior-level
Your way in starts here
1. APPLICATION
Ready to join us? We are thrilled to receive your application!
2. REVIEW
We review all applications and check qualifications, skills, and experiences in regard to the position. If there is no relevant opportunity for your profile at the moment, we will match your CV with future openings.
3. TALENT ACQUISITION INTERVIEW
Our team will reach out to book an interview to assess if we might be a good fit. You will also be presented with details about us as a company, our benefits, and the overall hiring process.
4. TECHNICAL INTERVIEW
A technical interviewer will assess your technical knowledge and problem-solving abilities. We aim to understand your proficiency in the specific areas relevant to the position you are applying for.
5. JOB OFFER
After a thorough process, we determine if your skills align with the requirements for the position. If so, we will extend a job offer to you. In all other cases you will be informed of the outcome of the hiring process.
6. WELCOME!
Your new team is eager to meet you. Let's get you on board to begin your journey.
Krakow · Fully Remote

Senior Data Engineer

Your journey matters – start it with us

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