(Junior) Data Ops Engineer - Data Sourcing (m/f/d)

Your skills

Who you are:

• You have very good knowledge of Python (see libraries above) and SQL (we mostly use PostgreSQL).
• Some prior experience with Polars, SQLAlchemy, Alembic, Airflow, Streamlit, or Dash are nice to have, as is experience with prompt engineering, Github, AWS, and Docker.
• You like to dig into new topics and learn as you approach new projects.
• Ideally, you are always on the lookout for novel developments and like to drive the adoption of innovative technologies in our organization.
• You have strong problem-solving skills and show strong ownership of topics and push projects independently.
• Particularly, you like to analyze and improve processes and engage with our analysts and internal stakeholders to get an understanding of users needs and can independently diagnose process improvement potential and proactively suggest solutions.
• You have an ability to describe complicated issues concisely and understandably and can efficiently communicate in writing and in person with both technical and non-technical stakeholders.
• You have excellent spoken and written English skills.

Your Team Who you will be working with

The Product Division is responsible for our platform products from statistics and reports to consumer and industry insights we create exclusive digital content from the world's most significant sources, our own primary data, and in-house AI-powered data tools. Over 400 experts, including researchers, analysts, product managers and data engineers, all work together to provide our customers with one integrated product experience empowering people with reliable data to make fact-based decisions:/https://www.statista.com/ Your Benefits

What we offer:

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: Work from abroad 7 days a year Hybrid work and flex-time International team and social events Career & training opportunities Attractive locations and modern offices Mental health support by Fürstenberg Institute See all benefits Some prior experience with Polars, SQLAlchemy, Alembic, Airflow, Streamlit, or Dash are nice to have, as is experience with prompt engineering, Github, AWS, and Docker. You like to dig into new topics and learn as you approach new projects.

Ideally, you are always on the lookout for novel developments and like to drive the adoption of innovative technologies in our organization. You have strong problem-solving skills and show strong ownership of topics and push projects independently.

Particularly, you like to analyze and improve processes and engage with our analysts and internal stakeholders to get an understanding of usersu2019 needs and can independently diagnose process improvement potential and proactively suggest solutions.

You have an ability to describe complicated issues concisely and understandably and can efficiently communicate in writing and in person with both technical and non-technical stakeholders. You have excellent spoken and written English skills.","tasks":" You will work in the Data Ops team mainly focusing on extracting data from external, but also internal, sources.

You will primarily develop and maintain internal Python-based tools, packages, and data pipelines that enable our analyst or other data ops teams to source, model and publish relevant data on market sizes, products, companies, and trends (Our Stack: Pandas, Scipy, PyPDF2, Requests, Tesseract, Selenium, Docker).

As part of a big data architecture project, you will contribute with your data extraction tools (e.g. crawlers, APIs, partner data) to produce data on-scale.

You will ensure high data quality, harmonization, and usability for other data engineers to process the data further into databases or modelling tools (Our Stack: SQLAlchemy, Alembic, Airflow, PostgreSQL).

You will also support our data partnership team with automatic compliance checks, setting format requirements, and testing potential data providers.","specialRequirements":"","team":" The Product Division is responsible for our platform products u2013 from statistics and reports to consumer and industry insights u2013 we create exclusive digital content from the world's most significant sources, our own primary data, and in-house AI-powered data tools. Over 400 experts, including researchers, analysts, product managers and data engineers, all work together to provide our customers with one integrated product experience u2013 empowering people with reliable data to make fact-based

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