Senior Analytics Engineer (Looker)

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 Analytics Engineer's goal is to take care of the entire data value chain, from data sources to business insights.
An Analytics Engineer is responsible for collecting business requirements, modeling data, building data pipelines, creating data visualizations, and helping businesses make decisions based on this data. You can use a variety of technologies covering the full data life cycle and work with different kinds of datasets.
Analytics Engineer often has some understanding of both worlds, business and technology, and is a good communicator who can help them to understand each other. He/she can turn business requirements into working data products (like: reports, analysis), often in cooperation with different stakeholders.

Responsibilities

• High-level Looker maintenance (administration): monitor instance health, user roles management, troubleshooting errors reported by business users, configuring new models and data connections
• Close cooperation with business users to understand reporting needs and support them with Looker usage
• Building data pipelines and implementing data transformations (mostly in SQL)
  
• Ad hoc data analysis and visualization
• Data validation and testing
• Designing and implementing data model in a BI tool
• Staying up to date with the latest trends and best practices in analytics engineering

• Proficiency in Python
• Experience with Looker
• Knowledge of tools such as PowerBI or Tableau 
• Python data visualization frameworks (e.g., Matplotlib, Seaborn, Plotly)
• Experience working with GCP
• Working with Spark messaging systems
• Understanding of Data Modeling - designing and defining data structures and relationships tailored for analysis that align with business requirements (also taking into account efficient storage retrieval)
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

• Salary: 130 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)

• 100% remote work

• Flexible working hours

• Possibility to work from the office located 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