Senior Software / Machine Learning Engineer

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

Role Summary:

We are looking for a Data Engineer to join our team, responsible for developing and integrating systems to retrieve, process, and analyze large volumes of data. This role involves building and maintaining data pipelines, implementing complex data models, and ensuring data integrity and efficiency.

Key Responsibilities:

• Develop and maintain data processing jobs using big data technologies.
  
• Build and optimize data pipelines to process and analyze large data sets.
  
• Collaborate with data scientists and analysts to develop new data solutions and algorithms.
  
• Implement solutions in the cloud environment and work with technologies like PySpark, Databricks, and Airflow.
  
• Monitor data pipelines to ensure data integrity and troubleshoot issues.
  
• Identify and implement process improvements for greater scalability and efficiency.

Qualifications:

• BSc degree in Computer Science or equivalent practical experience.
  
• At least 4 years of experience in data engineering or related roles.
  
• Proficient in programming languages like Python, Java, Scala, etc.
  
• Experience with Big Data technologies such as Spark, Hadoop, Databricks, and Airflow.
  
• Familiarity with cloud environments like AWS or GCP.
  
• Strong problem-solving skills and ability to learn new technologies quickly.
  
• Excellent communication skills and ability to work independently and in a team.

Nice to Have:

• Experience with data modeling and ETL processes.
  
• Familiarity with AI and machine learning frameworks.
  
• Knowledge of databases and data storage solutions.

At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

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