About us
GetInData | Part of Xebia is a leading data company working for international Clients, delivering innovative projects related to Data, AI, Cloud, Analytics, ML/LLM, and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fast-growing scaleups and large corporations that are industry leaders. In 2022, we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.
What about the projects we work with?
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here.
What else do we do besides working on projects?
We conduct many initiatives like Guilds and Labs and other knowledge-sharing initiatives. We build a community around Data & AI, thanks to our conference Big Data Technology Warsaw Summit, meetup Warsaw Data Tech Talks, Radio Data podcast, and DATA Pill newsletter.
Data & AI projects that we run and the company's philosophy of sharing knowledge and ideas in this field make GetInData | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.
If you want to be up to date with the latest news from us, please follow up on our LinkedIn profile.
About role
The role of an Analytics Engineer involves overseeing the entire data value chain, spanning from data sources to actionable business insights. This position entails gathering business requirements, designing data models, developing data pipelines, creating data visualizations, and supporting decision-making processes through data-driven insights.
Analytics Engineers work with diverse technologies across the full data lifecycle and handle various types of datasets. They bridge the gap between business and technology, effectively communicating to ensure mutual understanding. By collaborating with stakeholders, they translate business needs into functional data products, such as reports and analyses, to drive organizational success.
Responsibilities
- Collecting business requirements for data solutions (reports, analysis)
- Advising on metrics for business performance monitoring
- Monitoring, building data pipelines, and implementing data transformations (mostly in SQL)
- Designing and implementing data model in a BI tool
- Building reports and dashboards
- Data validation and testing
- Communicating results to the business and helping to use them to make decisions
- Data literacy knowledge sharing
- Staying up to date with the latest trends and best practices in analytics engineering
Requirements
- 3+ years of experience using BI tools like Power BI
- Proficiency in at least one programming language, with a preference for Python
- Strong expertise in SQL
- Extensive experience in Microsoft Azure and knowledge of Lakehouse platforms - Databricks
- Hands-on experience with dbt
- Ability to map business requirements to data products (reports, analysis)
- Ability to work with different datasets and data sources
- Being familiar with data visualization best practices and the ability to tell stories with data
Salary: 130 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)
100% remote work
Flexible working hours
Possibility to work from theofficelocated in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
International projects
Possibility of conducting workshops and training
Certifications
Co-financing sport card
Co-financing health care
All equipment needed for work
