Data Engineer (Spark)

Addepto; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Elastyczny czas pracy

Praca zdalna lub stacjonarna

Szkolenia i konferencje

Budżet na rozwój kompetencji

Job summary

Addepto poszukuje Data Engineer (Spark) w Krakowie do rozwijania dużej platformy danych przetwarzającej dane motoryzacyjne. Praca obejmuje projektowanie i utrzymanie potoków danych w trybie streaming i batch, optymalizację przepływów oraz współpracę z zespołami ds. danych i chmur.

Wymagana jest min. 3 lata doświadczenia z systemami Big Data, silne kompetencje Python/Java/Scala, oraz praktyczna znajomość Spark, Cloudera, Kafka, Airflow i Iceberg.

Qualifications

• Minimum 3 years of commercial experience with Big Data systems, data governance and data management.
• Strong Python (or Java/Scala) coding skills with OOP design.
• Hands-on with Spark, Cloudera, Kafka, Airflow, NiFi, Docker and Iceberg.
• Experience deploying solutions in cloud environments.
• Excellent communication and client-management skills, including consulting experience.

Responsibilities

• Develop and maintain a high-performance data processing platform for automotive data.
• Design and implement data pipelines for streaming and batch processing.
• Optimize data workflows using Spark, Cloudera and Airflow.
• Work with Iceberg and data lake technologies for structured/unstructured data.
• Collaborate with cross-functional teams to integrate data sources.
• Monitor, troubleshoot and ensure high availability and performance.
• Leverage AWS for infrastructure and scaling of workloads.
• Write high-quality Python/Java/Scala code for data tasks and automation.

Skills

Python

SQL

Spark

Airflow

Java

Scala

Data processing

OO programming

Education

Bachelor’s degree in technical or mathematical studies

Tools

Spark

Cloudera

Kafka

Airflow

NiFi

Docker

Iceberg

Databricks

AWS

Trino

Kubernetes

Job description

Data Engineer (Spark)

Miejsce pracy: Kraków

Technologies we use

Expected

• Python
• SQL
• Spark
• Airflow
• Cloudera

Optional

• Kubernetes
• Kafka
• NiFi
• Trino
• Hudi
• Java
• Scala
• Docker
• Databricks
• Iceberg
• AWS

Operating system

• Windows
• macOS

About the project

Development and maintenance of a large platform for processing automotive data. A significant amount of data is processed in both streaming and batch modes. The technology stack includes Spark, Cloudera, Airflow, Iceberg, Python, and AWS.

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Centralized reporting platform for a growing US telecommunications company. This project involves implementing BigQuery and Looker as the central platform for data reporting. It focuses on centralizing data, integrating various CRMs, and building executive reporting solutions to support decision-making and business growth.

This is how we organize our work

This is how we work

• in house
• at the client's site
• 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

Your responsibilities

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
• Design and implement data pipelines that process large volumes of data in both streaming and batch modes.
• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow.
• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently.
• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources.
• Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing.
• Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads.
• Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.

Our requirements

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes.
• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design.
• Hands-on with Big Data technologies like Spark, Cloudera, Kafka, Data Platform, Airflow, NiFi, Docker, and Iceberg,.
• Excellent understanding of dimensional data and data modeling techniques.
• Experience implementing and deploying solutions in cloud environments.
• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant.
• Ability to work independently and take ownership of project deliverables.
• Fluent English (at least C1 level).
• Bachelor’s degree in technical or mathematical studies.

Optional

• Experience with an MLOps framework such as Kubeflow or MLFlow.
• Familiarity with Databricks and/or dbt.

Division of working time

• 80% New features
• 5% Maintenance / Bug fixing
• 5% Client support
• 5% Document writing
• 5% Meetings

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.

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

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
• 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 is a leading AI consulting https://addepto.com/ai-consulting/ and data engineering https://addepto.com/data-engineering-services/ 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 an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.