Data Engineer

Data & AI

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

The Opportunity

IoT Infrastructure Software is looking for a Data Engineer for our Infrastructure Software team.  In this role, you will analyze and interpret complex data sets to provide insights to engineering teams. The ideal candidate must have at least some years of experience in data analysis and be able to work independently and collaboratively.    

Meet the Team

The Silicon Labs Internet of Things (IoT) Infrastructure Software team is an elite group of software engineers focused on developing internal tools and frameworks. Our team has a deep understanding of all aspects of semiconductor software development, including embedded, object-oriented applications, database, and web analytics.

Is this a great match for you? If you have an interest in the intersection of software with hardware products, we’d love to talk to you! We seek candidates that have an aptitude and interest in working with a wide variety of software technologies and who seek to collaborate with teams throughout the company. 

What you will need to know?

Good understanding of data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses.

Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics

Overseeing data integration, ETL processes, and data pipelines to ensure efficient data movement and transformation

Ensuring data security, privacy, and compliance with regulatory requirements

Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability.

Writing code in SQL and Python.

Experience with data visualization platforms such as Power BI, Grafana, or Tableau is essential for this role

Developing and deploying Infrastructure-As-Code and CI/CD automation (Jenkins).

Minimum Qualifications

Bachelor’s degree in computer science, Statistics or Mathematics or related field.

2-4 years experience in data analysis.

Technical proficiency in SQL and Python

Hands on experience building reports and dashboards with tools such as Power BI and Superset. Hands on experience with glue, redshift.

Strong knowledge of how relational databases work and various schema types – such as STAR or Snowflake.

Experience writing queries for MSSQL server, Postgres, Redshift and AWS Athena or Trino.

Exposure to analysis using machine learning related projects is a plus. Ability to work independently and collaboratively in a team environment

Qualifications Considered a Plus

Understanding of automated test environments for hardware validation or software QA

Familiarity with DevOps tools for CI/CD and infrastructure-as-code

Budapest Perks & Benefits 

You would be working from our office in Budapest, in Graphisoft Park, next to the riverbank of the Danube.  

We also offer:  

Annual Budapest travel card or parking in the office garage

Great cafeteria system

Opportunity to join Employment Stock Purchase Plan

Private health care access

Life and accident insurance for every employee

Contribution to a voluntary private pension fund

AYCM card option

Paid days for philanthropy

We prioritize the time for social activities, competitions, after work dinners and so much more! 

The annualized base pay range for this role is expected to be between Ft9,090,200 - Ft16,881,800. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.