Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d)

JR Germany; Berlin; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Lead Data Ops Engineer, where you'll lead a dynamic team in building an automated data sourcing system. This role offers high autonomy and the chance to influence data strategies using cutting-edge AI tools. With a focus on collaboration and innovation, you'll help major corporations and AI developers harness the power of data. Enjoy growth opportunities and be part of an international team in a centrally located office. If you're passionate about data and leadership, this is the perfect opportunity to make a significant impact.

Leistungen

High autonomy

Growth opportunities

Training

International team

Centrally located office

Qualifikationen

• At least 3 years of experience in Data Engineering or Data Operations.
• Experience in leading teams and managing projects.

Aufgaben

• Build an automated, large-scale data sourcing system.
• Manage a Data Ops team to extract and automate data sourcing.

Kenntnisse

Data Engineering

Data Operations

Leadership

Python

SQL/Postgres

AI Tools

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

BeautifulSoup

Selenium

Docker

AWS

Airflow

Jobbeschreibung

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Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d), Berlin

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Client:

Statista GmbH

Location:

Berlin, Germany

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

At Statista, we're all about facts and data, as the world's leading business data platform. We provide reliable, easy-to-use data along with analytics products and services to empower data-driven decisions worldwide.

Founded in Hamburg in 2007, we have grown into a global company with offices in London, New York, and Tokyo. Our growth creates new opportunities for our employees.

We celebrate diversity and welcome everyone regardless of background or appearance. Your unique story matters—join us and contribute to our team.

You will contribute to Statista's Data Production mission by building an automated, large-scale data sourcing system, supporting major corporations and AI developers.

As a team lead, you will manage a Data Ops team of about 4 Data Engineers and students, focusing on data sourcing.

Your team's goal is to extract data from various sources at scale, automate using AI tools, store it in a data lake, and prepare it for use or publication.

You will be part of the Data Ops leadership team, influencing strategies like data value, production, AI & automation, and tech stack (currently Python, BeautifulSoup, Selenium, SQL/Postgres, Docker, AWS, Airflow).

You will set team objectives, oversee delivery, and contribute to high-priority projects.

You will coordinate with stakeholders needing automated data sourcing, data ingestion, or large data sets.

Requirements include at least 3 years of experience in Data Engineering or Data Operations, leadership experience, startup motivation, technical expertise, and a structured, impact-driven work approach.

Benefits include high autonomy, growth opportunities, training, an international team, and a centrally located office.