Further
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Further. Skills: Data engineering, Cloud platforms, AI workflows, ML applications. Architect scalable ELT/ETL pipelines. Build scalable ELT/ETL pipelines”
What You'll Achieve.
Deliver measurable business value; Support evolving infrastructure needs
Industry & Context.
Anticipates scaling bottlenecks; Anticipates security vulnerabilities
What They're Looking For.
Must Have
6+ years data engineering experience, Expert Python proficiency, Expert SQL proficiency, Software engineering background, Dbt production experience, Airflow production experience
Nice to Have
Advanced cloud-native data suites knowledge, Architecting feature stores for ML, Architecting data pipelines for ML, GCP knowledge preferred, Cloud platform certifications
What You'll Do.
Architect scalable ELT/ETL pipelines
Build scalable ELT/ETL pipelines
Ingest complex data sets
Optimize data workflows
Refactor inefficient queries
Design data quality frameworks
Implement data quality frameworks
Design AI data pipelines
Implement AI data pipelines
Manage vector databases
Support model inference
Own data platform roadmap
Enhance data platform scalability
Provide technical mentorship
Drive coding standards improvements
Drive documentation improvements
Drive system reliability improvements
Standardize Modern Data Stack
Drive Airflow adoption
How You'll Work.
Team & Collaboration
Engineering team; Client engagements; AI research teams; Corporate IT
Communication Scope
Client satisfaction
Process & Methodology
Roadmap planning
Full Job Description
WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value. What experience should you have: 6+ years of data engineering experience with a focus on modern cloud platforms. Expert-level proficiency in Python and SQL is mandatory. Strong software engineering background with proficiency in Python for building custom integrations and data tools. Deep production experience with dbt for data modeling and Airflow for orchestration. Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure. Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant. Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture. Experience wit
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