[Future opening] Senior Data Engineer (Azure / Databricks)

GetInData sp. z o.o. sp. k.; Warszawa; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading data company is looking for a Data Engineer to design and maintain data architecture, facilitating analytics and data applications. This remote role emphasizes proficiency in programming languages such as Python or Scala, experience with data platforms like Databricks, and a solid understanding of DevOps practices. Competitive salary offered, along with opportunities for collaboration and personal development.

Benefits

Competitive salary

Opportunity to learn with Big Data experts

International projects

Possibility of conducting workshops

Qualifications

• Proficiency in a programming language like Python / Scala or Java.
• Knowledge of Lakehouse platforms like Databricks.
• Experience with dbt is required.
• Familiarity with Version Control Systems, especially GIT.
• Experience in software engineering principles.
• Knowledge of orchestration tools such as Airflow or Azure Data Factory.
• Familiarity with DevOps practices and tools like Docker and Terraform.

Responsibilities

• Develop and commit new functionalities and open-source tools.
• Implement policies aligned with company strategic plans.
• Ensure compliance with security and data privacy regulations.
• Conduct training sessions and knowledge-sharing.

Skills

Python

Scala

Java

Databricks

dbt

GIT

Airflow

Azure Data Factory

Docker

Terraform

Azure DevOps

Job description

Job Details:

• Remote
• PLN160 - PLN200

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.

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.

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.

About role

We are excited to announce that we are looking for a Data Engineer! This position is vital to our company, and we are seeking candidates with outstanding skills and experience. Although there isn't an immediate project available, we invite you to reach out and explore future opportunities with us.

A Data Engineer's role involves the design, construction, and upkeep of data architecture, tools, and procedures facilitating an organization's collection, storage, manipulation, and analysis of substantial data volumes. This position involves erecting data platforms atop commonly provided infrastructure and establishing a streamlined path for Analytics Engineers who rely on the system.

Responsibilities

• Development and committing of new functionalities and open-source tools
• Implementing and enacting policies in line with the company's strategic plans regarding utilized technologies, work organization, etc.
• Ensuring compliance with industry standards and regulations in terms of security, data privacy applied in the data processing layer
• Conducting training and knowledge-sharing

Job requirements

• Proficiency in a programming language like Python / Scala or Java
• Knowledge of Lakehouse platforms - Databricks
• Experience working with dbt
• Familiarity with Version Control Systems, particularly GIT
• Experience as a programmer and knowledge of software engineering, good principles, practices, and solutions
• Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Azure Data Factory, Prefect, Dagster
• Familiarity with DevOps practices and tools, including Docker, Terraform, CI/CD, Azure DevOps
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement

We offer

• Salary: 160 - 200 PLN net + VAT/h B2B (depending on knowledge and experience)
• 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