Data Engineer - Remote

About Us

At Zyte, we consume data as our daily bread, and you can have your daily bread anywhere while working for Zyte. Established in 2010, we are an international team of over 250 Zytans working from over 28 countries, committed to enabling our customers to obtain the data they require to continue innovating and expanding their businesses. We believe that all businesses deserve uncomplicated access to data.

For over ten years, Zyte has been a pioneering force in creating robust, user-friendly tools for collecting, arranging, and delivering web data quickly, reliably, and on a large scale. Today, the data we extract assists thousands of organizations in making more informed business decisions, gaining competitive edge, and fueling sustainable growth. Currently, over 3,000 companies and 1 million developers depend on our tools and services to retrieve the data they need from the web.

As a Data Engineer on the Data & Analytics Team at Zyte, you’ll collect, analyze, and interpret data, contributing to data-driven strategies and choices that will support key business intelligence functions.

You will play a significant role in enhancing our analytics services and contribute ideas to our data strategy with a focus on promoting processes and tools that result in higher data quality, and adopting best practices.

Job Responsibilities:

• Construct scalable and dependable data pipelines that collect, transform, load, and curate data from internal systems.
• Create and maintain data transformation pipelines and ad-hoc reports to support business teams and enrich our visualization layer.
• Develop processes to ensure data quality and integrity.
• Collaborate with business and technical teams to understand their data needs and provide support in data-centric projects.
• Actively participate in our data community to facilitate knowledge sharing across the company and moderate on data engineering topics.
• Provide in-depth insights by answering open-ended questions from datasets.

Requirements

Required Qualifications

• 4+ years of experience in data modeling and designing pipelines/data warehousing solutions. Familiarity with /ELT tools such as dbt or Airflow is highly advantageous.
• Proficiency in SQL.
• Experience in comprehending, writing, and troubleshooting code in Python or equivalent scripting language.
• Experience with Google Cloud Platform or AWS is necessary.
• Strong analytical abilities and experience in advanced data modeling - you are capable of taking raw data from various data sources and transforming it into an optimized and scalable data model for end users.
• Strategic instincts and sound judgment about the business implications of data analyses.

Good to have

• Understanding of regulations like GDPR, CCPA, and managing PII data is preferred.
• Experience with data visualization tools such as Tableau/Looker/Metabase is beneficial.
• Experience with main ML algorithms (classification, regression, prediction), and comprehension of the application of statistics in business, such as forecasting, causations, and correlations is a plus.

Education + Soft Skills

• BSc/MSc in Engineering, Computer Science, or equivalent practical experience is a necessity.
• An effective team player capable of fostering environments that aim for shared objectives, offers ideas, and is receptive to change.
• Ability to identify the elements of a complicated situation or problem, and break them down into building blocks to formulate a system or solution that resolves it.
• Good communicator with various business units and people, capable of helping them sketch out what they genuinely need.
• A continuous learner interested in exploring new things and engaging in numerous projects and systems.

Benefits

As a new Zytan, you will:

Join a self-driven, progressive, multi-cultural team.

Enjoy the freedom and flexibility to work from wherever you perform best.

Attend conferences and meet team members from all over the world.

Work with state-of-the-art open-source technologies and tools.

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