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Senior Data Engineer (Flink)

Remote
  • Warsaw, Mazowieckie, Poland
Data Engineering

Job description

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

As a Data Streaming Engineer's role, you will hold a vital position in the provision, development, implementation, enhancement, and upkeep of the Data platform. Your role extends to guiding customers and disseminating best practices throughout the company, ensuring efficient utilization and optimization of data resources. Additionally, you will actively contribute to the continuous improvement and innovation of data streaming processes, fostering a culture of excellence and adaptability within the organization.

Responsibilities

  • Development and committing of new functionalities and open-source tools
  • R&D, maintenance, and monitoring of the platform's components
  • Implementing and executing policies aligned to the strategic plans of the company concerning used technologies, work organization, etc.
  • Creating and propagating standards of work in projects
  • Undertaking work that requires the application of fundamental principles in a wide and often unpredictable range of contexts
  • Contributing to the organization's knowledge database

Job requirements

  • Proficiency in a programming language like Java and Python
  • Experience in building real-time data streaming pipelines with Apache Flink
  • Familiarity with the Kafka messaging system
  • Hands-on experience with Airflow for orchestration
  • Working with Spark messaging systems
  • Proficiency in working with AWS/GCP/Azure Cloud
  • Fundamental knowledge of data engineering, building data platforms, and solutions
  • Understanding complexity and relationships between businesses, suppliers, partners, competitors, and clients
  • 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)

  • 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

Remote
  • Warsaw, Mazowieckie, Poland
Data Engineering

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