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

Statista; Hamburg; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading data company in Hamburg is looking for a Data Ops Team Lead to manage a skilled team of Data Engineers. You will drive the automation of data sourcing and oversee strategic decisions within a flourishing data production operation. With a motivating culture and growing impact, this is a unique opportunity to shape the future of data.

Leistungen

Work from abroad 10 days a year

Hybrid work and flex-time

International team and social events

Career & training opportunities

Attractive locations and modern offices

Mental health support with OpenUp

Qualifikationen

• Minimum 3 years of experience in Data Engineering or Data Operations.
• Experience leading teams in a relevant context.
• Startup-like motivation and independence.

Aufgaben

• Lead a Data Ops team focusing on Data Sourcing and automation.
• Set team objectives and manage delivery of high-priority projects.
• Coordinate with stakeholders for automated data sourcing processes.

Kenntnisse

Data Engineering

Data Operations

AI & Automation

Leadership

Python

AWS

Tools

Apache Hive

Hadoop

Redshift

Spark

NoSQL

Kafka

Jobbeschreibung

At Statista, we are all about facts and data, as we are the world's leading business data platform. By providing reliable and easy-to-use data, along with 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, Berlin, and Tokyo. Our constant growth not only proves our success but also creates new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, regardless of 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?

Tasks :

You will contribute to Statista's Data Production mission to build an automated, scalable production system for high-value data, empowering the biggest corporates and AI-builders in the world.

As such, you will lead a Data Ops team with 4 Data Engineers and students, focusing on Data Sourcing both disciplinarily and professionally.

Your team's mission is to extract data from various sources at scale, automate the process 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: Python, BeautifulSoup, Selenium, SQL (Postgres), Docker, AWS, Airflow).

You will set objectives for your team, manage all aspects of delivery, and contribute operationally to high-priority projects within your area of responsibility.

You will coordinate internally with stakeholders who require automated sourcing processes, sourced data from your team, or ingestion of large data volumes.

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 successfully led teams before.

You possess startup-like motivation to shape an ambitious growth strategy and build a global data company out of Germany.

You are perceived as a role model for tech and coding expertise and are sought after for advice and code reviews by colleagues.

Your ways of working are characterized by independence and alignment; you are well-structured, impact-driven, pragmatic, a team player, and eager to win together.

What we offer

In addition to our great team culture and our shared goal of empowering people with data, there are many other reasons why Statista is a great place to work! Join us and benefit from:

• Work from abroad 10 days a year (up to 30 if your family lives abroad)
• Hybrid work and flex-time
• International team and social events
• Career & training opportunities
• Attractive locations and modern offices
• Mental health support with OpenUp

Some benefits listed here apply only to the German entity and to junior-level roles or above.

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1