Lead Data Engineer (Azure, SQL, Power BI)

MiTek is looking for a Data Engineer & Integrations Lead to design, build, and own key parts of our enterprise data platform. This role combines hands‐on data engineering with architectural ownership, focusing on data models, reliable pipelines, and system integrations across the business.
You will be responsible for how data is ingested, modeled, deployed, and monitored, while collaborating with others in a global team.
Key Responsibilities
Data Engineering & Modeling

Review and validate data models to ensure consistency, scalability, and alignment with business requirements.
Design, implement, and own dimensional data models to support analytics, reporting, and downstream use cases.
Define and document data modeling standards, best practices, and guidelines for the organization.
Continuously assess existing data models and propose improvements as business needs evolve

Data Integration & Pipelines

Build robust ingestion processes from a variety of sources, including databases, files, and third‐party REST APIs.
Ensure pipelines are reliable, efficient, scalable, and cost‐effective.
Lead the design, development, and maintenance of data pipelines, primarily using Azure Data Factory (ADF) and related Azure data services.
Work closely with other engineers to refactor and optimize existing pipelines and SQL transformations.

CI/CD, Automation & DevOps

Partner with DevOps and IT teams to improve deployment workflows and automation across environments.
Implement and champion CI/CD practices for data pipelines, SQL scripts, and analytics assets.
Use Git‐based version control to ensure reproducibility, auditability, and quality.

Data Operations, Monitoring & Reliability

Implement logging, alerting, and monitoring to proactively detect and resolve failures.
Support root‐cause analysis and implement long‐term fixes for data‐related issues.
Monitor end‐to‐end data flows, from raw ingestion through curated warehouse layers.
Define data quality checks and ensure facts and dimensions are populated accurately and on time.

Solid background in data warehouse/data lake design
4+ years in data engineering or data warehousing
Hands‐on with Azure data services (ADF, Azure SQL/Synapse, Databricks or similar)
Strong SQL and experience with Python or Java
Clear communication and ability to work across teams and time zones
Experience with CI/CD, Git, and production data pipelines

Flexible working: 5‐day work week and flexible start times
Active social clubs: gym, yoga, football, badminton, swimming...
Balance hands‐on engineering with architecture and leadership
Work with modern data technologies at scale
Free lunch and free parking
State‐of‐the‐art office environment (gym, shower, basketball & soccer field) with a high‐end laptop provided
Comprehensive healthcare package, including 24/24 personal accident insurance
Competitive salary with 13th‐month bonus, productivity bonus, and annual salary review
Strong learning culture: paid self‐learning hours, LinkedIn Learning & Pluralsight access, in‐person classes with professional trainers (leadership, soft skills, English...), workshops, technical sharing activities...
Clear career development with structured onboarding, ongoing training, and a mentorship program
Team bonding through quarterly team‐building events, yearly company outing, and a special 3‐year anniversary trip
Own and shape MiTek’s global data platform
Collaborate with global teams in the US and Vietnam

Cập nhật gần nhất lúc: 2026-04-09 07:05:03