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

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Sandbach

Hybrid

GBP 65,000 - 85,000

Full time

26 days ago

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Job summary

A leading data platform seeks a Data Ops Team Lead to manage a team of Data Engineers and drive data extraction processes using AI tools. This role offers high autonomy, opportunities for growth, and involvement in strategic decision-making within a dynamic, international team. Ideal candidates will have a strong background in Data Engineering and proven leadership experience.

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

Qualifications

Minimum 3 years of experience in Data Engineering or similar.
Proven experience in leading teams successfully.
Strong coding expertise and role model for tech.

Responsibilities

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

Skills

Data Engineering

Data Operations

Team Leadership

Python

SQL

Automation

Tools

AWS

Docker

Airflow

BeautifulSoup

Selenium

Job Description

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?

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

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”