What are the responsibilities and job description for the IT Data Engineering JG4 position at Motion Recruitment?
Contract Duration: 6 Months
Location: Houston, TX - Hybrid Roles
Required Skills & Experience
Cloud Platforms: AWS, Azure, SAP – Master
ELT Processes: Master
Data Modeling: Master
Data Integration & Ingestion: Skilled
Data Manipulation & Processing: Skilled
Version Control / CI-CD: GitHub Actions, Azure DevOps – Skilled
Data Tools & Services: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest – Skilled
Desired Skills & Experience
Experience in project management or leading a Scrum team
Experience with BPC or Planning tools
Exposure to external technical ecosystems
MKDocs documentation experience
What You Will Be Doing
The Senior Data Engineer designs and builds data foundations and end-to-end solutions for the business to maximize value from data. The role helps create a data-driven culture within the organization—not just within IT teams, but across the broader business stakeholder community.
A Senior Data Engineer is expected to be a subject matter expert who designs and builds data solutions while mentoring junior engineers. They are key drivers in converting vision and data strategy into practical IT solutions and delivering results.
Daily Responsibilities
Technology expert who actively pursues continuous learning and shows curiosity to understand work from multiple dimensions.
Deep data focus with expertise across technology domains.
Skilled communicator capable of engaging both technical developers and business managers; respected and trusted by leaders and peers.
Actively supports the rollout and embedding of Data Foundation initiatives that enable key business programs.
Coordinates change management, incident management, and problem management processes.
Presents reports and findings to stakeholders and serves as the subject matter expert on Data Analysis and Design.
Drives implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed, and maximize value delivery.
Contributes to community-building initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP).
Posted By: VMS Sourcing
Location: Houston, TX - Hybrid Roles
Required Skills & Experience
Cloud Platforms: AWS, Azure, SAP – Master
ELT Processes: Master
Data Modeling: Master
Data Integration & Ingestion: Skilled
Data Manipulation & Processing: Skilled
Version Control / CI-CD: GitHub Actions, Azure DevOps – Skilled
Data Tools & Services: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest – Skilled
Desired Skills & Experience
Experience in project management or leading a Scrum team
Experience with BPC or Planning tools
Exposure to external technical ecosystems
MKDocs documentation experience
What You Will Be Doing
The Senior Data Engineer designs and builds data foundations and end-to-end solutions for the business to maximize value from data. The role helps create a data-driven culture within the organization—not just within IT teams, but across the broader business stakeholder community.
A Senior Data Engineer is expected to be a subject matter expert who designs and builds data solutions while mentoring junior engineers. They are key drivers in converting vision and data strategy into practical IT solutions and delivering results.
Daily Responsibilities
Technology expert who actively pursues continuous learning and shows curiosity to understand work from multiple dimensions.
Deep data focus with expertise across technology domains.
Skilled communicator capable of engaging both technical developers and business managers; respected and trusted by leaders and peers.
Actively supports the rollout and embedding of Data Foundation initiatives that enable key business programs.
Coordinates change management, incident management, and problem management processes.
Presents reports and findings to stakeholders and serves as the subject matter expert on Data Analysis and Design.
Drives implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed, and maximize value delivery.
Contributes to community-building initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP).
Posted By: VMS Sourcing