(Senior) Analytics Engineer

Warszawa - Poland

Monthly Salary: Not Disclosed

Posted on: 11-10-2025

Vacancies: 1 Vacancy

Job Summary

On a daily basis you will:

drive innovation and improvements by evaluating new tools (e.g. Data Quality monitoring) and platform features (e.g. Genie Space on Databricks).
monitor the effectiveness of solutions by tracking implemented actions (e.g. naming convention adherence metadata completeness MR quality).
define workflows and coding standards for style maintainability and best practices on the analytical platform.
evangelize platform users on the best practices for its use and encouraging teams to continuously improve their working methods. Advocate for coding standards through various workshops and guidelines.
monitor the market for new tools and methodologies in data product development area.
while the role involves conceptual work youll also have opportunities for hands-on coding such as analyzing AI readiness and implementing AI solutions to automate data development tasks.
work with various Data&AI competencies (Data Consultants Data Engineers AI Engineers Cloud Engineers Data Architect)

Qualifications :

Which skills should you bring to the pitch:

At least 5 years of experience in an analytical role working with large datasets
Experience in data modeling and implementing complex data-driven solutions is a strong plus
Excellent proficiency in Python/PySpark for data analysis SQL for data processing bash scripting to manage Git repositories
Comprehensive understanding of the technical aspects of data warehousing including dimensional data modeling and ETL/ELT processes
Experience with real-time data processing and the ability to handle data from various backend/frontend systems.
Familiarity with cloud-based data platforms (GCP/Azure/AWS)
The ability to present technical concepts and solutions to diverse audiences
Self-motivated with the ability to work independently and manage multiple tasks
Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams
Fluent in English: verbal and written

Nice to have:

Experience in working with Apache Spark in Databricks
Familiarity with modern data building tools like Apache Airflow DBT
Familiarity with data visualization tools such as PowerBI/Tableau/Looker
Knowledge of data governance principles and practices
Ability to thrive in a highly agile intensely iterative environment
Positive and solution-oriented mindset

Additional Information :

The course of the recruitment process:

Step 1: HR Interview
Step 2: Devskiller test
Step 3: Technical Interview (60 min)
Step 4: Home task
Step 5: Home task presentation and discussion (60 min)

Remote Work :

Yes

Employment Type :

Full-time

On a daily basis you will:drive innovation and improvements by evaluating new tools (e.g. Data Quality monitoring) and platform features (e.g. Genie Space on Databricks).monitor the effectiveness of solutions by tracking implemented actions (e.g. naming convention adherence metadata completeness MR ...

On a daily basis you will:

drive innovation and improvements by evaluating new tools (e.g. Data Quality monitoring) and platform features (e.g. Genie Space on Databricks).
monitor the effectiveness of solutions by tracking implemented actions (e.g. naming convention adherence metadata completeness MR quality).
define workflows and coding standards for style maintainability and best practices on the analytical platform.
evangelize platform users on the best practices for its use and encouraging teams to continuously improve their working methods. Advocate for coding standards through various workshops and guidelines.
monitor the market for new tools and methodologies in data product development area.
while the role involves conceptual work youll also have opportunities for hands-on coding such as analyzing AI readiness and implementing AI solutions to automate data development tasks.
work with various Data&AI competencies (Data Consultants Data Engineers AI Engineers Cloud Engineers Data Architect)

Qualifications :

Which skills should you bring to the pitch:

At least 5 years of experience in an analytical role working with large datasets
Experience in data modeling and implementing complex data-driven solutions is a strong plus
Excellent proficiency in Python/PySpark for data analysis SQL for data processing bash scripting to manage Git repositories
Comprehensive understanding of the technical aspects of data warehousing including dimensional data modeling and ETL/ELT processes
Experience with real-time data processing and the ability to handle data from various backend/frontend systems.
Familiarity with cloud-based data platforms (GCP/Azure/AWS)
The ability to present technical concepts and solutions to diverse audiences
Self-motivated with the ability to work independently and manage multiple tasks
Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams
Fluent in English: verbal and written

Nice to have:

Experience in working with Apache Spark in Databricks
Familiarity with modern data building tools like Apache Airflow DBT
Familiarity with data visualization tools such as PowerBI/Tableau/Looker
Knowledge of data governance principles and practices
Ability to thrive in a highly agile intensely iterative environment
Positive and solution-oriented mindset

Additional Information :

The course of the recruitment process:

Step 1: HR Interview
Step 2: Devskiller test
Step 3: Technical Interview (60 min)
Step 4: Home task
Step 5: Home task presentation and discussion (60 min)

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Adobe Analytics
Data Analytics
SQL
Attribution Modeling
Power BI
R
Regression Analysis
Data Visualization
Tableau
Data Mining
SAS
Analytics

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About Company

InPost

InPost S.A. a company listed on Euronext Amsterdam - is the leading out-of-home e-commerce enablement platform in Europe. InPost Group operates across key geographies: Poland, the UK, Italy and the Iberian Peninsula, as well as France and Benelux, through its subsidiary, Mondial Rel ... View more

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