
About Statista
Your gateway to market and consumer insights
Key Highlights
- Over 1 million users worldwide accessing diverse data
- Headquartered in New York, with a strong European presence
- Specializes in e-commerce, finance, and healthcare data
- Offers competitive salaries and equity options
Statista, headquartered in New York, is a leading provider of market and consumer data, serving over 1 million users globally. The platform offers access to statistics, reports, and insights across various industries including e-commerce, finance, and healthcare. With a strong presence in Europe and...
🎁 Benefits
Statista offers competitive salaries, equity options, generous PTO policies, and a flexible remote work environment to support work-life balance....
🌟 Culture
Statista fosters a data-driven culture that values accuracy and insight, encouraging employees to leverage analytics in decision-making and innovation...
Overview
Statista is hiring an Automation Engineer focused on AI Insights to design intelligent data solutions and automate insights delivery. You'll work with technologies like Python and AWS to build scalable data pipelines. This position requires experience in automation and data analytics.
Job Description
Who you are
You have a strong background in automation engineering, particularly in designing and implementing intelligent data solutions. Your experience includes building scalable data pipelines and optimizing retrieval systems for both structured and unstructured data. You are proficient in Python and have hands-on experience with cloud services like AWS, which you leverage to enhance data processing capabilities.
You understand the importance of automation in delivering insights and have developed systems for rule-based retrieval and dynamic content generation. Your familiarity with tools such as Docker and Elasticsearch enables you to create efficient and high-performance data solutions. You thrive in collaborative environments and enjoy working with cross-functional teams to drive innovation.
What you'll do
In this role, you will take ownership of designing and optimizing intelligent data pipelines that connect various databases and schemas. You will be responsible for automating the delivery of insights, ensuring that data is processed in real-time and at scale. Your work will directly impact how data is indexed and leveraged across Statista's products and partner platforms.
You will collaborate closely with data scientists and product teams to understand their needs and translate them into technical solutions. Your role will involve continuous improvement of existing systems, identifying bottlenecks, and implementing best practices in data management and automation. You will also have the opportunity to mentor junior engineers and contribute to the overall growth of the engineering team.
What we offer
Statista provides a dynamic work environment with opportunities for professional development and career growth. You will be part of an international team that values diversity and fosters a culture of collaboration. We offer flexible working hours, subsidized urban mobility, and access to fitness and wellness options. Additionally, you will have free access to our data analytics tools and resources, enhancing your ability to deliver impactful insights.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Statista.
Similar Jobs You Might Like
Based on your interests and this role

Data Engineer
Statista is hiring a Data Ops Engineer to design and build intelligent data pipelines and automated systems for insights delivery. You'll work with Data Engineering and DataOps to enhance data accessibility and efficiency. This position requires experience in data engineering or a related backend engineering role.

Data Engineering Lead
Statista is hiring a Data Engineering Lead to drive the development of advanced Data and AI-powered solutions. You'll work with AWS, Python, and SQL to enhance data research and decision-making. This position requires 5+ years of experience in data engineering.

Ai Engineer
Statista is seeking a Team Lead Data & AI Engineering to guide a high-performing team in building advanced AI solutions. This role requires strong leadership and technical expertise in data and AI engineering.

Automation Engineer
HelloFresh is hiring an Automation Engineer to optimize automation processes and ensure system reliability at their Magdeburg location. You'll work with SCADA systems, robotics, and automation technologies to enhance production efficiency.

Data Engineer
Statista is hiring a Data Engineer to support their healthcare vertical by providing reliable data analytics products and services. You'll work in a collaborative environment focused on data-driven quality measurement and transformation.