Senior Data Engineer

What you'll need to succeed in this role:

• 5+ years of experience in a Data Engineer or similar role.
• Proficiency in Python for data processing and scripting.
• Strong experience with Google Cloud Platform, especially: BigQuery, Compute Instances, IAM (Identity and Access Management).
• Experience with Terraform and Terragrunt for infrastructure automation.
• Hands-on experience with Dagster or similar orchestration frameworks.
• Advanced knowledge of Looker and Looker Studio.
• Familiarity with Docker and GitHub Actions for containerization and automation.
• Solid understanding of DBT and SQL.
• Experience with Airbyte or other ETL/ELT platforms.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Excellent written and verbal communication skills in English.
• Previous experience in a consulting or client-facing role.

Nice to have:

• Knowledge of data modeling best practices (e.g., Kimball, Data Vault).
• Familiarity with data quality frameworks and data observability tools.

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI consulting companies.

As a Senior 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:

• Building and development of a modern data warehouse for the US retail industry, enabling the client to make data-driven decisions and build foundations for future AI features. This role will require a consultant mindset to help and guide the client through the product's roadmap.
• Development of an operational warehouse for a big automotive client supporting near real-time processing and building foundations for integrating AI into their business processes.
• 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.

Discover our perks and 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 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.

,[Design, develop, and maintain scalable data pipelines and ETL processes in GCP., Collaborate with BI teams to develop semantic models and visualizations in Looker and Looker Studio., Work with infrastructure as code using Terraform and Terragrunt., Build orchestrated workflows with Dagster for reliable and repeatable data processing., Integrate and manage data sources via Airbyte or similar ETL tools., Optimize and maintain BigQuery datasets and compute resources., Ensure high-quality data through testing, monitoring, and CI/CD using GitHub Actions., Contribute to overall data architecture, best practices, and documentation., Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions that align with reporting and strategic goals.] Requirements: Python, SQL, GCP, Looker, Terraform, Dagster, dbt, GitHub Actions, Terragrunt, Looker Studio, Airbyte Tools: Jira, Confluence, Wiki, GitHub, Agile, Scrum, Kanban. Additionally: Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria, International projects, Flat structure, Paid leave, Training budget, Language classes, Team building events, Small teams, Flexible form of employment, Flexible working hours and remote work possibility, Free coffee, Startup atmosphere, No dress code, In-house trainings.

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