Data Analytics Engineer

Company: TheWidlarzGroup

Data Analytics Engineer📍 Location: Remote work 📄 Contract type: B2B 20,000 - 28,000 PLN net/month
👋 Who are we?
We’re The Widlarz Group, a software house specializing in React Native, actively contributing to the Open Source community 🌍. You might already know our work - we’re the team behind popular Open Source libraries like react-native-video 🚀.
🤝 For this role, we’re supporting one of our long-term clients in finding an experienced Data Analytics Engineer to join their tech team.
🧭 You’ll be hired directly by our client, but we’ll guide you through the recruitment process and help you get up to speed. The client is an innovative US-based company building global crypto solutions. 🌐.
💬 Our client values open and transparent communication, high standards, and work that has real impact - these are principles they follow in their daily work and in the products they build.
🇺🇸 The client is based in the United States, so we’re looking for someone who is comfortable working with a team in the US time zone and can be available for at least part of their working hours ⏰.
About the role
The main responsibility of a Data Analytics Engineer is to turn large-scale product and user data into clear insights that help product, engineering, and business teams make better decisions. The role focuses on understanding user behavior, monitoring platform performance, identifying anomalies, and building data tools, reports, and analyses that improve mobile applications and the wider digital ecosystem.
✅ Minimum qualifications
* Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field; equivalent hands-on experience will also be considered.
* Strong experience with SQL and relational databases.
* Proficiency in at least one scripting or programming language, preferably Python, Ruby, or Node.js.
* Hands-on experience with Python data-analysis libraries such as Pandas and NumPy, as well as notebook environments such as Jupyter.
* Experience building automated data-processing and analytics workflows.
* Familiarity with data transformation and analytics engineering tools, such as dbt.
* Experience working with business-intelligence and data-visualisation platforms, including Tableau, Looker, Power BI, or similar tools.
* Exposure to large-scale data-processing technologies, such as Apache Spark or comparable distributed-computing frameworks.
* Ability to work across the analytics stack.
🧩 Preferred qualifications (but not required)
* 4+ years of professional experience in data analytics, data engineering, or related technical roles.
* Hands-on experience designing and maintaining ETL/ELT pipelines and workflow orchestration processes.
* Experience with cloud-based data platforms and data warehouses, such as BigQuery, Snowflake, Redshift, Databricks, or comparable solutions.
* Strong ability to analyse large datasets and optimise SQL queries or other analytical workloads for performance and scalability.
* Practical experience using statistical analysis, experimentation, machine learning techniques to solve product or business challenges.
* Experience developing automated monitoring, reporting, anomaly-detection, or data-quality solutions.
* Proven ability to partner with product and software engineering teams. 
* A structured, proactive problem-solving mindset. 
🎯 What do we offer?
You’ll join our client’s team under a B2B contract with a competitive rate in the range of 20,000-28,000 PLN net/month, depending on your experience and skills.
What you can expect from the client:
* Fully remote work - from anywhere with a stable internet connection - plus flexible working hours.
* Long-term collaboration within a fast-growing international product team.
* Depending on the client’s policy, you may also get access to equipment - all specific benefits will be discussed and confirmed at the offer stage.
* A modern development environment - the team uses Cursor, Claude as the main coding tool and leverages AI at every stage, from feature design to coding and data analysis.
* A culture of clear communication, regular feedback, and close collaboration with experienced engineers.
💡 Good to know
You won’t be employed directly by The Widlarz Group - you’ll work as part of our client’s team.
We’ll guide you through the process, support you during onboarding, and stay in touch to make sure everything runs smoothly.
⚙️ Our recruitment process
* Short introductory video call (30 min) - to get to know each other and answer your initial questions.
* Technical interview with the client's team (1h 30min) - a deep dive into your experience, skills, and approach to solving problems.
* Meeting with the client’s representative (20 min) - if relevant for the project.
* Reference check - we may ask you to provide contact details to verify your experience and fit.
* Offer & final discussion of terms (15-20 min) - to wrap things up and make sure we’re all aligned.
Sounds like a match?
Click Apply, and we’ll take it from there 🚀

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