Senior Data Engineer
Primary stack
Nice to have's
Job description
About the Position
Senior Data Engineer
Bucharest, Bucharest, Romania
About Us
Amach is an industry-leading technology-driven company with headquarters in Dublin and remote teams across the UK and Europe. Founded in 2013, we specialize in solving aviation complexities by modernizing operating models using cloud, data, and AI. Our goal is to maximize airlines' operational efficiency, reduce costs, and enhance customer experience and satisfaction.
Responsibilities
- Data Engineering Expertise: Proven experience in architecting and delivering large-scale, cloud-native data solutions.
- Advanced Knowledge in Databricks and Snowflake: Hands-on experience in Databricks, Spark, Pyspark, and Delta Lake, with strong skills in data warehousing and lakehouse solutions.
- MLOps Skills: Practical experience in MLOps, ideally with MLflow for model management and deployment.
- Cloud Proficiency: Strong knowledge of AWS, with additional experience in Azure advantageous for multi-cloud setups.
- Programming Proficiency: Advanced coding abilities in Python, SQL, and Scala.
- Tooling Competence: Familiarity with version control (GitHub), CI/CD tools (Azure DevOps, GitHub Actions), orchestration tools (Airflow, Jenkins), and dashboarding tools (Tableau, Alteryx).
Requirements
- Experience: 10+ years of experience in Data Engineering or a related field.
- Tools: A minimum of 3 years of hands-on experience with Databricks in a production environment.
- Technologies: Strong expertise in cloud platforms (e.g., AWS, Azure, GCP), Data Lake technologies, and Data Warehousing.
- Skills: Experience with data ETL tools and BI solutions (e.g., Airflow, PowerBI), data quality and governance tools (e.g., Atlan, Monte Carlo), and solid knowledge of data modeling concepts.
- Soft Skills: Excellent communication and collaboration skills, a problem-solving and analytical mindset, and the ability to work autonomously and as part of a team.
Nice to Have
- Education: Master's in Computer Science, Data Science, or a related field.
- Experience: Proven experience in designing, developing, and implementing complex data pipelines and data warehouse solutions in an enterprise environment.
- Agile Experience: Experience with Scaled Agile planning and execution.
We Offer
- An opportunity to join a fast-growing company.
- Options for career advancement.
- Learning and development opportunities.
- Flexible working environment.
- Competitive salaries based on experience.
About the Company
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!
Equal Opportunity Employer:
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
Your Personal Data
Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:
- Used lawfully, fairly, and in a transparent way.
- Collected only for valid purposes and not used in any way that is incompatible with those purposes.
- Relevant to the purposes we have told you about and limited only to those purposes.
- Accurate and kept up to date.
- Kept only as long as necessary for the purposes we have told you about.
- Kept securely.
If you would like to contact us about your data, please use the following address: [email protected]
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