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...
Skills & Technologies
Overview
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.
Job Description
Who you are
You have experience in Data Engineering, DataOps, or a related Backend Engineering role — you've designed and built scalable data pipelines that connect various databases and schemas, ensuring efficient data retrieval and processing. Your background includes developing automated systems that deliver insights at scale, utilizing smart rule-based retrieval and dynamic content generation for both structured and unstructured data.
You are familiar with enabling AI systems — you understand how to ensure data and content are efficiently stored, indexed, and accessible via APIs and partner ecosystems. You have a knack for identifying bottlenecks and opportunities for improvement, which helps advance the data and content automation strategy of your organization.
What you'll do
In this role, you will design and build intelligent pipelines and retrieval systems that connect databases and schemas, driving automation to deliver insights at scale. You will develop automated systems that support structured, unstructured, and generated data, ensuring that insights are readily available for decision-making.
You will collaborate with cross-functional teams to enable AI systems, ensuring that data and content are efficiently stored and indexed. Your role will involve innovating and optimizing existing processes, identifying areas for improvement, and implementing solutions that enhance the overall data strategy of Statista.
You will also participate in team discussions and contribute to the development of best practices in data management and automation. Your insights will help shape the future of data operations at Statista, making a significant impact on how data is utilized across the organization.
What we offer
Statista provides a dynamic work environment with an international team and various social events. You will have access to subsidized urban mobility and fitness options, along with career and training opportunities. We value mental health and offer support through programs like OpenUp. Join us in our modern offices located in attractive locations, and be part of a company that celebrates diversity and encourages you to bring your whole self to work.
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 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.
Automation Engineer
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.
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.
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.
Program Manager
Statista is hiring a Functional Lead - Data Architecture to steer the Data Architecture function and lead cross-functional programs. This role requires several years of experience in functional leadership within data-driven organizations.