Statista GmbH logo

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

  • Statista GmbH
  • Berlin
  • Feste Anstellung
  • Homeoffice möglich, Vollzeit
  • Erschienen: vor 1 Tag
Statista GmbH logo
Lead Data Ops Engineering - Data Sourcing (crawling/scraping) (m/f/d)Statista GmbH
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At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. 

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team. Are you ready to join us?

Your Tasks

  • You will contribute to Statista’s Data Production mission to build an automated, at scale production machine for high-value data empower the biggest corporates and AI-builders in the world

  • As such, you will lead a Data Ops teams with ~4 Data Engineers plus students both disciplinarily and professionally, focusing on “Data Sourcing”

  • Your team’s mission is to extract data from various sources at-scale, automated and using AI-tools, store the data in a data lake environment and process and structure it for further use or publication

  • You will be part of our Data Ops leadership team and jointly decide on strategic topics such as: data value contribution, data production steering, AI & automation, tech stack (currently for this team: Python, BeaufitulSoup, Selenium, SQL (Postgres), Docker, AWS, Airflow)

  • You’ll set the objectives for your team, manage all aspects of delivery, and will operationally contribute to high-priority projects in your area of responsibility

  • You’ll coordinate internally with stakeholders who require automated sourcing processes, sourced data from your team, or ingestion of large amounts of data

Your Profile

  • You have a minimum of 3 years of experience in Data Engineering, Data Operations or a similar field in a relevant context and have lead teams successfully before

  • You have start-up-like motivation to shape an ambitious growth strategy and build a global data player out of Germany

  • You are perceived as role-model for tech and coding expertise and will be asked for advice and code-review by colleagues

  • Your ways of working are shaped by working independently yet well-aligned, you are well-structured and -organized yet impact-driven and pragmatic, you are a team player and want to “win together”

Your Benefits

  • High level of autonomy
  • Opportunity to grow quickly into mentor and/or leadership role
  • Statista University - extensive training offer and individual coaching
  • Dynamic, international team
  • Office located directly within the city center
  • Deutschland-Ticket Support
  • Visa Support
  • Sabbatical
  • Flextime
  • Hybrid Work

Gehalt

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Das Unternehmen gehört zu

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Unser Standort

Statista GmbHLeipziger Platz 16, 10117 Berlin, Deutschland

Pendelzeit

- - : - -

Mitarbeitervorteile

Betriebliche Altersvorsorge
Flexible Arbeitszeiten
Mitarbeiter-Laptop
Firmenevents- und Veranstaltungen
Parkplatz
Mitarbeiterrabatte
Sabbatical
Coaching-Angebote
Homeoffice
Firmenticket
Gute Verkehrsanbindung
Die abgebildeten Mitarbeitervorteile sind unternehmensabhängig und können je nach Position und Abteilung abweichen.

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