Lead Data Engineer (Spark)

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.

As a Lead 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 the platform for managing vehicle data for global automotive company. This project develops a shared platform for processing massive car data streams. It ingests terabytes of daily data, using both streaming and batch pipelines for near real-time insights. The platform transforms raw data for data analysis and Machine Learning, this empowers teams to build real-world applications like digital support and smart infotainment and unlocks data-driven solutions for car maintenance and anomaly detection across the organization.

• 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.

This role represents a gradual shift away from hands-on coding towards a more strategic focus on system design, business consultation, and creative problem-solving. It offers an opportunity to engage more deeply with architecture-level decisions, collaborate closely with clients, and contribute to building innovative data-driven solutions from a broader perspective.

Your main responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Hadoop, Iceberg.

• Design and implement data management and data governance processes and best practices.

• 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 data analysis and Machine Learning projects, including text/image analysis and predictive model building.

• Develop and organize data transformations using DBT and Apache Airflow.

• Translate business requirements into technical solutions and ensure optimal performance and quality.

What you'll need to succeed in this role:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems.

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design.

• Experience in designing and implementing data governance and data management processes.

• Familiarity with Big Data technologies like Spark, Cloudera, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi.

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS).

• 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.

• Fluent English (C1 level) is a must.

Discover our perks & benefits:

• 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 sponsoredtraining or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.

• Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off

• Participate inteam-building events and utilize the integration budget.

• Celebrate work anniversaries, birthdays, andmilestones.

• Access medical andsports 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.

Are you interested in Addepto and would like to join us?

Get in touch! We are looking forward to receiving your application. Would you like to know more about us?

Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).