Data Scientist

Amach; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible working environment

Learning and development opportunities

Career advancement

Job summary

Amach, a Dublin-headquartered tech company with UK and Europe teams, seeks a Senior Data Engineer to architect and deliver cloud-native data pipelines and data warehouses.

You will work with data engineers, architects and product owners to ensure high-quality data assets, leveraging Databricks, Snowflake, and modern MLOps practices in a fast-growing environment.

Qualifications

• At least 5 years of experience in Data Engineering or a related field.
• Hands-on Databricks in production environments for 1+ year.
• Strong cloud experience on AWS/Azure/GCP with data lake/warehouse expertise.
• Experience with ETL tools and BI solutions (Airflow, PowerBI).
• Data quality, governance tools, data modeling, and lakehouse concepts.
• Proficient in Python, SQL, and Scala; strong communication skills.

Responsibilities

• Develop and implement complex data pipelines and data warehouse solutions.
• Collaborate with data engineers, architects and product owners to ensure quality delivery.
• Design scalable data models and maintain data governance practices.

Skills

Databricks

Snowflake

Python

SQL

Scala

Airflow

MLflow

AWS

Azure

GCP

Data Modeling

Data Warehousing

Delta Lake

Tableau

Alteryx

GitHub

Azure DevOps

CI/CD

Education

Master's in Computer Science / Data Science

Tools

Databricks

Snowflake

Airflow

PowerBI

Tableau

MLflow

GitHub

Azure DevOps

GitHub Actions

Jenkins

Delta Lake

Job description

Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.

Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.

Founded in 2013, Amach was created to solve a specific problem in aviation: too much complexity, too little usable intelligence. We help airlines modernise their operating model using cloud, data and Al-delivered by teams with deep aviation domain expertise.
Our goal is to maximize airlines' operational efficiency by optimizing resource use, reduce costs and increase customer experience and satisfaction.

The Senior Data Engineer is a highly skilled data management specialist in charge of developing and implementing complex data pipelines and data warehouse solutions. They will work closely with data engineers, architects and product owners to ensure high-quality delivery of Data Assets.

Required Experience:

• At least 5 years of experience in Data Engineering or a related field
• A minimum of 1 years of hands-on experience with Databricks in a production environment
• Strong expertise in cloud platforms (e.g. AWS, Azure, GCP), Data Lake technologies and Data Warehousing
• Experience with data ETL tools and BI solutions (e.g., Airflow, PowerBI)
• Experience with data quality and governance tools (e.g., Atlan, Monte Carlo)
• Solid knowledge of data modelling concepts
• Excellent communication and collaboration skills
• A problem-solving and analytical mindset
• Ability to work autonomously and as part of a team
• 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)
• Master's in Computer Science, Data Science or a related field
• Proven experience in designing, developing and implementing complex data pipelines and data warehouse solutions in an enterprise environment
• Experience with Scaled Agile planning and execution

What’s in it for you:

• An opportunity to join a fast-growing company
• Options for career advancement
• Learning and development opportunities
• Flexible working environment
• Competitive salaries based on experience

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.

At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace.

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: [e-mail]