Data Engineer: Scalable Pipelines for AI

DEPT®; United States; Hybrid; USD 46,000 - 80,000; Full time

Benefits offered by this job

Hybrid work policy

Training & certifications

DEPT Cares Month

Health benefits

Job summary

DEPT® is seeking a Data Engineer in the EMEA Data craft team to deliver scalable data architectures and robust pipelines for major clients. You will drive enterprise data engineering projects, collaborating with cross-functional teams to translate business challenges into technical solutions.

The role requires deep expertise in cloud data services, Python, SQL, and modern data warehouses, with a focus on governance, quality and measurable impact for clients across industries.

Qualifications

• Proven track record delivering enterprise data solutions.
• Experience designing scalable data architectures and pipelines.
• Hands-on with cloud data services (GCP/AWS/Azure).
• Proficient in Python, SQL and data orchestration tools.
• Experience with modern warehouses like BigQuery/Snowflake/Redshift.
• Strong data modeling, governance and quality practices.
• Clear communication translating tech to business.
• Agency/consulting experience is a plus.

Responsibilities

• Design scalable data architectures and pipelines for enterprise clients.
• Maintain and promote data engineering standards and best practices in EMEA.
• Guide client engagements with senior contributors.
• Collaborate with the Data & AI practice to deliver integrated solutions.
• Stay ahead of emerging data engineering technologies and methodologies.

Skills

Data engineering

Cloud platforms

Python

SQL

ETL processes

Data modeling

Data governance

Communication

Education

Master’s degree in CS/Engineering

Tools

GCP

AWS

Azure

BigQuery

Snowflake

Redshift

Airflow

DBT

Job description

DEPT® is seeking a Data Engineer in the EMEA Data craft team to deliver scalable data architectures and robust pipelines for major clients. You will drive enterprise data engineering projects, collaborating with cross-functional teams to translate business challenges into technical solutions.

The role requires deep expertise in cloud data services, Python, SQL, and modern data warehouses, with a focus on governance, quality and measurable impact for clients across industries.