Data Engineer

Lead Data Engineer (ADB)

The Lead Data Engineer will design, develop, and maintain robust Spark applications while enforcing coding standards and best practices across the project. They will also collaborate with cross-functional teams to optimize performance and ensure the reliability of enterprise-level data solutions.

Mid/Senior Data Engineer (AWS)

You will design, develop, and maintain scalable batch and real-time data pipelines using Python, SQL, and dbt. Additionally, you will manage cloud-based data infrastructure on AWS and collaborate with cross-functional teams to deliver robust data solutions.

Mid/Senior Data Engineer (GCP)

You will design, build, and maintain scalable data pipelines while supporting migrations to BigQuery. Additionally, you will orchestrate and optimize data processing workloads to deliver production-grade data products for analytics and business intelligence.

Senior Data Engineer

Develop and maintain scalable data pipelines using SQL-based ELT patterns and optimize transformation logic for curated data marts. Ensure data quality through rigorous testing, orchestration with Airflow, and effective schema evolution using CI/CD practices.

Senior Data Engineer

Develop and maintain scalable data pipelines using SQL-based ELT patterns and optimize transformation logic for curated data marts. Ensure data quality through rigorous testing, orchestration with Airflow, and effective schema evolution using CI/CD practices.

Senior Data Engineer

Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional teams to build new product features.

Senior Data Engineer

Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional teams to build new product features.

Senior Data Engineer

You will design and build consumable data assets on an AWS data platform while collaborating with product engineering teams to define data ownership and contracts. Additionally, you will onboard data from legacy warehouses and develop tooling to accelerate platform adoption.

Data Engineer with Airflow

You will provide hands-on support for Apache Airflow configuration, DAG development, and troubleshooting while advising customer teams on best practices. Additionally, you will collaborate with internal stakeholders to deliver technical guidance and ensure successful platform adoption and production onboarding.

Senior Data Analytics Engineer - Data Insights

You will build, define, and activate company-wide data assets in Snowflake by developing efficient data models and pipelines. Additionally, you will collaborate with stakeholders to design metrics and dimensions that enable self-service analysis and structured KPI reporting.

Senior Data Engineer

You will maintain high-volume ingestion pipelines and develop tools and frameworks for the data platform. Additionally, you will support data scientists with production workloads and contribute to ML-platform and streaming initiatives.

Data Engineer (Marketing Systems)

The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.

Lead Data Engineer

Senior Data Engineer (ADB + Python)

Design, develop, and maintain robust Spark applications while enforcing coding standards and best practices across the project. Collaborate with cross-functional teams to deliver scalable software solutions and provide clear communication to stakeholders.

Senior Data Architect / Data Engineer

You will design and implement scalable, high-performance reporting solutions and data modeling strategies for large-scale analytical workloads. Additionally, you will provide architectural guidance, mentor engineering team members, and drive best practices in data quality and performance optimization.

Senior Data Engineer

Design and scale modern data infrastructure to transform complex transactional data into trusted datasets for regulatory reporting and financial operations. Collaborate with cross-functional teams to build AI-powered capabilities and mentor junior data engineering teammates.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data governance standards.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

DevOps Data Engineer (Digital Marketing sphere)

Build, operate, and scale containerized data infrastructure on Kubernetes and Linux-based systems. Develop automation tooling in Python and ensure the reliability and performance of distributed data processing engines like Spark.

Senior Data Engineer (GCP / AI Platform)

Design and build a greenfield analytical data platform on GCP to power internal and customer-facing AI agents. This includes constructing ELT/CDC pipelines, managing orchestration, and developing the retrieval layer for RAG systems.

Senior Data Engineer

Design, develop, and deploy Power BI solutions and data models to provide advanced analytics and business insights. Manage data ingestion, ETL processes, and performance tuning for complex SQL and DAX queries within a TAX platform.

Senior Data Engineer - Tieto Tech Consulting (m/f/d)

Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.

Data Engineer - Tieto Tech Consulting (m/f/d)

Design and implement scalable ETL/ELT pipelines and modern data platforms using Databricks and Azure. Collaborate with architects and stakeholders in an Agile environment to deliver analytics-ready datasets for BI and AI workloads.

Data Engineer - Tieto Tech Consulting (m/f/d)

Design and implement modern data platforms, scalable pipelines, and analytics solutions using Microsoft Fabric and Databricks. Develop ETL/ELT processes and maintain medallion architectures to enable data-driven decision making.

Senior Data Engineer (ADB, Python)

Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.

Lead Data Engineer

The Lead Data Engineer will assess data sources, quality, and integration requirements to validate the technical feasibility of AI and reporting use cases. They will provide platform recommendations, identify implementation risks, and support technical documentation for final recommendations.