Data Engineer and Integrations Lead ( Azure, SQL, PowerBI )

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
• Design, implement, and own dimensional data models to support analytics, reporting, and downstream use cases.
• Review and validate data models to ensure consistency, scalability, and alignment with business requirements.
• 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
• Lead the design, development, and maintenance of data pipelines, primarily using Azure Data Factory (ADF) and related Azure data services.
• 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.
• Work closely with other engineers to refactor and optimize existing pipelines and SQL transformations.
CI/CD, Automation & DevOps
• 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.
• Partner with DevOps and IT teams to improve deployment workflows and automation across environments.
Data Operations, Monitoring & Reliability
• 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.
• Implement logging, alerting, and monitoring to proactively detect and resolve failures.
• Support root‑cause analysis and implement long‑term fixes for data‑related issues.
Job requirements
• 4+ years in data engineering or data warehousing
• Strong SQL and experience with Python or Java
• Solid background in data warehouse/data lake design
• Hands‑on with Azure data services (ADF, Azure SQL/Synapse, Databricks or similar)
• Experience with CI/CD, Git, and production data pipelines
• Clear communication and ability to work across teams and time zones
• Requires some schedule flexibility to effectively collaborate with teams in the US (Central Time)
Why You&039;ll Love Working Here
• Competitive salary with 13th‑month bonus, productivity bonus, and annual salary review
• Comprehensive healthcare package, including 24/24 personal accident insurance
• State‑of‑the‑art office environment (gym, shower, basketball & soccer field) with a high‑end laptop provided
• 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
• Flexible working: 5‑day work week and flexible start times
• Free lunch and free parking
• Team bonding through quarterly team‑building events, yearly company outing, and a special 3‑year anniversary trip
• Active social clubs: gym, yoga, football, badminton, swimming…
• Own and shape MiTek’s global data platform
• Work with modern data technologies at scale
• Balance hands‑on engineering with architecture and leadership
• Collaborate with global teams in the US and Vietnam

team building events, perform bonus financial benefits, gifts and vouchers, free food and beverages, work station, insurance, career growth, vacation and leaves

Cập nhật gần nhất lúc: 2026-04-09 09:50:02