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Data Engineer (Databricks)

Data Engineer (Databricks)

AddeptoWarszawa, mazowieckie, Polska
Ponad 30 dni temu
Opis pracy

Data Engineer (Databricks)

Miejsce pracy : Warszawa

Technologies we use

Expected

  • Python
  • Databricks
  • SQL
  • Microsoft Azure

Optional

  • Airflow
  • Dagster
  • Apache Spark
  • Microsoft Power BI
  • Azure Event Hub
  • Kafka
  • Terraform
  • Operating system

  • Windows
  • macOS
  • About the project

    As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join :

  • Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes, as well as giving freedom for technology selection.
  • Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache Spark / PySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
  • Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.
  • Your responsibilities

  • Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and / or Dagster.
  • Contribute to the development of CI / CD and MLOps processes.
  • Develop applications to aggregate, process, and analyze data from diverse sources.
  • Collaborate with the Data Science team on Machine Learning projects, including text / image analysis and predictive model building.
  • Develop and organize data transformations using Databricks / DBT and Apache Airflow.
  • Translate business requirements into technical solutions and ensure optimal performance and quality.
  • Our requirements

  • At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems.
  • Strong programming skills in Python : writing a clean code, OOP design.
  • Experience in designing and implementing data governance and data management processes.
  • Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka.
  • Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
  • Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
  • Excellent understanding of dimensional data and data modeling techniques.
  • Excellent communication skills and consulting experience with direct interaction with clients.
  • Ability to work independently and take ownership of project deliverables.
  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
  • This is how we organize our work

    This is how we work

  • in house
  • you can change the project
  • you have influence on the choice of tools and technologies
  • you have influence on the technological solutions applied
  • you have influence on the product
  • you develop the code "from scratch"
  • you focus on product development
  • agile
  • scrum
  • Team members

  • technical leader
  • big data developer
  • data scientist
  • project manager
  • Development opportunities we offer

  • assistance in preparation to public speeches
  • conferences abroad
  • conferences in Poland
  • development budget
  • external training
  • industry-specific e-learning platforms
  • intracompany training
  • soft skills training
  • substantive support from technological leaders
  • support of IT events
  • technical knowledge exchange within the company
  • time for development of your ideas
  • What we offer

  • Work in a supportive team of passionate enthusiasts of AI & Big Data.
  • Engage with top-tier global enterprises and cutting-edge startups on international projects.
  • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
  • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
  • Choose from various employment options : B2B, employment contracts, or contracts of mandate.
  • Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
  • Participate in team-building events and utilize the integration budget.
  • Celebrate work anniversaries, birthdays, and milestones.
  • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
  • Get full work equipment for optimal productivity, including a laptop and other necessary devices.
  • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
  • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
  • Benefits

  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • fruits
  • integration events
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • christmas gifts
  • birthday celebration
  • employee referral program
  • Reimbursement for prescription glasses or contact lenses
  • Recruitment stages

  • Let's get to know each other (45 min)
  • Technical Interview (1 h)
  • Management Interview (1 h)
  • Addepto

    Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

    Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide.

    Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez ADDEPTO sp. z o.o. z siedzibą w : Świeradowska 47, 02-662 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu.

    Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne : (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.

    Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.

    Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.

    Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.

    Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.

    Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.

    W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem : hr@addepto.com.

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