(Senior) Analytics Engineer

The Data & AI department is seeking a (Senior) Analytics Engineer to join our core team. In this role, you'll shape analytical standards and implement innovative solutions, impacting our operations across Poland and 7 international markets. Remote work is possible.

Daily you’ll work with: Apache Spark in Databricks, Databricks various features, Python\PySpark, SQL, kafka, Power BI, GitLab, Google BigQuery, inhouse data modeling tool

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, you'll 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)

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 (e.g. 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

What’s in it for you:

• Significant Impact: Directly influence way of work and toolset of all analytical roles in the InPost Group.

• Cutting-Edge Technology: Work with the latest technologies, including Databricks, Azure, Spark, and more, pushing the boundaries of data processing and analysis. You'll have the chance to explore and implement innovative solutions.

• Professional Growth: Expand your skillset and expertise through ongoing learning, leading cross-functional projects or presenting your work to others. Mentor team members, sharing knowledge and shaping future data professionals.

• International Collaboration: Work with diverse stakeholders across various InPost markets, gaining invaluable experience in a global context.

• Data Driven Culture: Contribute to a data-driven company where your expertise is valued.

• Flexible Work Arrangements: Enjoy the flexibility to choose your work environment. Work remotely, from our modern Krakow or Warsaw office – the choice is yours to create a work setup that best suits your needs and preferences.

• Thrive at InPost: Be part of a vibrant and supportive culture. Join our active employee initiatives, from sports teams and running clubs to social events and volunteering opportunities. We foster a work environment that values well-being and connection.

The course of the recruitment process:

• Step 1: CV screening

• Step 2: Devskiller test

• Step 3: Technical Interview (60 min)

• Step 4: Home task

• Step 5: Home task presentation and discussion