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Market Intelligence Data Engineer (m/f/d) @ Sportradar d.o.o.

Opis delovnega mesta

ABOUT US:

As part of one of the fastest-growing digital sports companies worldwide, you will be part of Sportradar’s overall Data & Insights unit and responsible for the organization and development of the company’s market intelligence initiatives.
The Market Intelligence team collects information of our business environment such as customer, competitors and markets in the respective territories. Based on this information the team provides analysis to support dedicated strategic as well as commercial decisions, sales activities and new business development.

THE CHALLENGE:

- Develop and maintain scalable data pipelines to extract, clean, and structure data from public and third-party sources.
- Design and implement web scraping solutions using frameworks such as BeautifulSoup, Scrapy, Selenium, or Playwright, ensuring efficiency, reliability, and compliance with regulations.
- Leverage AI-powered autonomous agents (e.g., LangGraph, OpenAI, Gemini, Anthropic-based models) to automate market intelligence gathering and adapt to dynamic data sources.
- Store, manage, and optimize collected data in cloud-based data warehouses (AWS Redshift) to enable efficient querying and reporting.
- Integrate externally collected data with internal business intelligence systems, providing actionable insights to stakeholders.
- Automate and optimize data ingestion processes to minimize manual effort and improve data freshness.
- Explore and implement advanced AI methodologies, such as retrieval-augmented generation (RAG), reinforcement learning agents, and self-improving pipelines for enhanced data extraction and analysis.
- Work cross-functionally with Market Intelligence, Data Science, and Engineering teams to define data requirements and optimize data collection strategies.

Od kandidatov zahtevamo

ABOUT YOU:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Strong proficiency in Python, with experience in libraries such as BeautifulSoup, Scrapy, Selenium, Playwright, or Puppeteer for web scraping.
- Experience with cloud platforms (i.e. AWS) and data pipeline tools such as Apache Airflow, Prefect, or Dagster.
- Proficiency in SQL and experience with data warehousing solutions such as AWS Redshift
- Familiarity with API integrations and handling structured/unstructured data from multiple sources.
- Strong problem-solving skills and attention to detail, with an ability to troubleshoot scraping challenges, including - CAPTCHAs, bot detection, and dynamic content rendering.
- Experience with CI/CD pipelines, version control (Git), and containerized deployments (Docker, Kubernetes) is a plus.
- Ability to collaborate with cross-functional teams and communicate technical findings to non-technical stakeholders.

Nice to have skills:
- Knowledge of AI/ML frameworks (e.g., OpenAI, LangGraph, LangChain) and their application in data automation and retrieval.

Kandidatom ponujamo

OUR OFFER:
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US).
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Flexible working hours.
- New office with several additional benefits.


OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with out Talent Acquisition Partner to better understand your background and expectations.
- Hiring manager Interview: First meeting with the Hiring Manager, to further discuss your background and the position.
- Home task: A home task, to further asses your technical knowledge.
- Final Interview: Final interview with the wider team and checking the cultural fit.
- Final Steps: Receive feedback and if successful, an offer!

Kontakt

https://smrtr.io/qQc5M

Klasifikacija delovnega mesta

Lokacija:
Ljubljana
Plačilo:
3.000 - 6.000 gross with bonus 5% - 10% (depends on experience) EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

Python
napredno znanje
SQL
napredno znanje

O podjetju

Sportradar is a global leader in understanding and leveraging the power of sports data and digital content for its clients around the world. We provide cutting-edge solutions and services to media companies, bookmakers, sports federations and state authorities.

We are a truly international business employing over 3,700 people in more than 30 locations around the world. Our rapid growth has been driven by technological innovation alongside an understanding of our clients' business needs. It is our commitment to excellent service, quality and reliability that makes us the trusted partner of more than 1,700 companies in over 120 countries.

Zakaj bi želel delati za vas

You will have an opportunity to work for and shape one of the fastest growing sports data companies in the world.

We cultivate employee communication and team spirit. Our people are not only great engineers but first and most of all amazing people with some of the most amazing hobbies making them interesting people outside of the office setting as well. We have a licensed pilot, guitarists, drummers, singers - yes our own band, two office dogs in our ranks.

As a market innovator, Sportradar is valued at $2 billion+, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA, and UEFA.

We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.

If you think you're up to the challenge, come and help us to grow, innovate and develop! #maketheteam

Programerski vprašalnik