Amach Logo

Amach

Senior Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Dublin, IRL
Senior level
In-Office
Dublin, IRL
Senior level
Designs, builds, and maintains scalable Databricks data pipelines, ETL/ELT workflows, cloud data platforms, data lakes, and data warehouses. Implements data quality, governance, lineage, and monitoring frameworks using tools such as Atlan and Monte Carlo. Partners with stakeholders, BI teams, and engineers to develop data models and analytics-ready datasets while optimizing performance, scalability, security, and cost efficiency.
The summary above was generated by AI

About us:

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 senior data engineers, architects, and product owners to ensure high-quality delivery of Data Assets.

Please note that this is a hybrid role, three days per week onsite.

Required Experience:

  • At least 5 years of experience in Data Engineering or a related field
  • A minimum of 3 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

Key responsibilities & duties include:

  • Design, build and maintain scalable Databricks data pipelines to ingest, transform and deliver high-quality data into Data Lake and Data Warehouse environments
  • Develop and optimise ETL/ELT workflows and orchestration processes using tools such as Airflow to ensure reliable and automated data delivery
  • Manage and enhance cloud-based data platforms (AWS / Azure / GCP), focusing on performance, scalability, security and cost efficiency
  • Implement and maintain data quality, governance, lineage and monitoring frameworks using tools such as Atlan and Monte Carlo to ensure trusted and compliant data
  • Partner with business stakeholders, BI teams and engineering teams to design data models and deliver analytics-ready datasets that support reporting and decision-making

Desirable Experience:

  • 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.

If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!

Not for you?

Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.

P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.

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: [email protected]

HQ

Amach Dublin, Dublin, IRL Office

Dublin, Ireland

Similar Jobs

21 Days Ago
In-Office
Dublin, IRL
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.
Top Skills: Apache AirflowSparkArtificial IntelligenceAzureAzure Data FactoryAzure DatabricksCi/CdGitJavaMachine LearningPysparkPythonScalaSnowflakeSQLSQL Server
33 Minutes Ago
In-Office
Dublin, IRL
Senior level
Senior level
Cloud • Fintech • HR Tech
Design and optimize scalable data ingestion, ETL/ELT, enrichment, and transformation pipelines for a cybersecurity data lakehouse. Own data quality, observability, master data management, data marts, semantic layers, cataloging, lineage, documentation, and governance enforcement. Serve as the data logistics subject matter expert, establish engineering standards, and mentor the data engineering team while enabling trusted analytics and security operations.
Top Skills: AlationApache AirflowApache AtlasApache IcebergSparkAws CdkAws EmrAws GlueAws Glue Data CatalogAws Step FunctionsCollibraData MeshDbtDelta LakeGithub ActionsGitopsJenkinsMedallion ArchitectureOpenlineagePrefectPysparkPythonScalaSQLTerraform
One Month Ago
Hybrid
Dublin, IRL
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and maintain scalable ETL pipelines, integrate data from databases, APIs, streaming platforms, and external providers, and transform large datasets for analytics and machine learning. Establish reusable engineering frameworks, data governance, monitoring, alerting, and reliability practices. Collaborate with analytics and business teams on cloud data migration, predictive model enablement, and healthcare cost reduction. Required skills include SQL, Python, Scala or Java, cloud platforms, Snowflake or Databricks, DevOps, Git, and CI/CD.
Top Skills: AirflowAWSAzureAzure Data FactoryCi/CdDatabricksDevOpsEltETLGCPGitHadoopJavaKafkaPythonScalaShell ScriptingSnowflakeSparkSQL

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account