Freelance Senior Data Engineer

Lever, Inc.; United States; Remote; USD 92,997,000 - 161,195,000; Full time

Job summary

Lever, Inc. in a dynamic banking technology practice seeks a Senior Data Engineer to join a cross-functional Agile team.

You will design and optimize end-to-end data solutions across AWS cloud and on-prem Oracle DB, shaping data mesh and medallion architectures. You will build and optimize ETL/ELT pipelines with Airflow and dbt, modernize legacy systems, ensure data quality and security, and collaborate with analysts and business stakeholders to deliver scalable data products.

Qualifications

• Proven hands-on experience with SQL and Python.
• Hands-on experience with cloud platforms - AWS, Azure, or GCP.
• Knowledge of data pipeline tools such as Airflow or dbt.
• Working knowledge of Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects.
• Understanding of real-time, message-based, and event-driven architectures and bridging legacy with modern data platforms.

Responsibilities

• Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments.
• Build and optimize ETL/ELT pipelines and data architectures using Airflow, dbt, and SAP Data Services.
• Support modernization and migration of legacy data systems toward cloud-native architecture.
• Ensure high standards of data quality, security, and performance across all data workflows.
• Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions.
• Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects.
• Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00

Skills

SQL

Python

Cloud platforms

Airflow

dbt

Data Mesh

Medallion architecture

DevOps / IaC / CI/CD

Real-time/event-driven

Communication

Tools

Airflow

dbt

SAP Data Services

Oracle DB

SAP IQ

SAP Business Objects

Job description

Project/Client: Banking

Location: Baltic States and Poland Citizen (remote)

Start Date: ASAP

Duration:12 months

Language: English

Role Overview:

We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises (Oracle DB) environments, working with Airflow, dbt, and SAP Data Services, and contributing to Data Mesh and Medallion architecture implementations.

Key Responsibilities:

• Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments
• Build and optimize ETL/ELT pipelines and data architectures using Airflow, dbt, and SAP Data Services
• Support modernization and migration of legacy data systems toward cloud-native architecture
• Ensure high standards of data quality, security, and performance across all data workflows
• Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions
• Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects
• Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00

Must-Have Requirements:

• Proven hands-on experience with SQL and Python
• Hands-on experience with cloud platforms -AWS, Azure, or GCP
• Good understanding of data pipeline tools such as Airflow or dbt
• Working knowledge of enterprise data platforms: Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects
• Knowledge of solution integrations - real-time, message-based, and event-driven architectures- including bridging legacy systems with modern data platforms
• Exposure to test automation and DevOps practices, including infrastructure as code, security best practices, CI/CD, and SDLC
• Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
• Strong communication and collaboration skills

€30 - €50 an hour