Logo for HITCONTRACT

Freelance Senior Data Engineer

Role overview

Qualifications

  • 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
  • Strong communication and collaboration skills

Responsibilities

  • Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform
  • 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

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

HITCONTRACT logo

HITCONTRACT

  • Staffing & Recruiting
  • 2–10
We are a recruitment company, focused in the IT field. - We are friends of developers; - We are a small company, so each client is "The client" to us; - We take "success" fee, so we work till we reach a result. In 2015 we were the first recruitment agency, who have started talking about contract work model between programmers in Lithuania. Follow us and our Showcase Page and check the newest job offers: https://www.linkedin.com/showcase/10235510/admin/updates/

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Related jobs

See all Data Engineer jobs

Other jobs at HITCONTRACT