Data Engineering Manager, AMCS
Performance sustainability for resource-intensive industries
Be an early applicant
Performance sustainability for resource-intensive industries
1001+ employees
Be an early applicant
1001+ employees
Company mission
To drive sustainability in resource intensive industries through automation and digital transformation to realize an economically viable net-zero carbon future.
Role
Who you are
- A strong work ethic with a can-do attitude is expected, alongside a culture of friendly collaboration and teamwork
- The ideal candidate will have a strong Data Engineering background combined with a deep understanding of how Data Platforms really work
- Bachelor’s or master’s degree in data engineering, Computer Science or a related field or equivalent practical experience
- 8+ years of experience in a Data Engineering or related role with at least 2 of those years involving management of team(s)
- Strong understanding of distributed systems, data modelling, and cloud-native architectures
- Good knowledge and understanding of cloud platforms (Azure, GCP) with proven expertise in the Fabric offering and/or BigQuery
- Proficiency with tooling for ETL (Data Factory, Dataflow), Analysis and BI/Reporting (PowerBi, Looker Studio, etc.)
- Experience of implementing Datamarts and Data warehouses (SQL, BigQuery, Snowflake)
- Knowledge of Data and Event streaming tooling (Kafka, Google Cloud Pub/Sub, etc.)
- Use of Development practices & Data Ops for streamlined automated CI/CD pipelines that improve the quality and reliability of deliverables
- Familiarity with monitoring and logging tools like Prometheus, Grafana and DataDog
- A keen interest in AI technologies and tooling and how they can be leveraged by teams to accelerate Delivery and value to the business and our customers
- Excellent leadership, communication, and stakeholder management skills
What the job involves
- We are seeking a highly skilled and motivated Data Engineering Manager to join our dynamic engineering team
- Working in an Agile environment, you will manage teams of Data Engineers and Data Scientists working on our next generation Unified Data Platform
- This is an opportunity to contribute to the design and build out of our Data platform using the latest technology advancements and methodologies
- As well as managing the teams and delivery of the platform, you will also collaborate with Data Architects and Product Managers to deliver Enterprise ready solutions
- You will encourage continuous improvement and high performing teams
- You will care about KPI’s and monitor individual & team performance
- You will have a keen interest in doing things the right way and for taking on new challenges
- As a Data Engineering Manager, you will not only manage and guide our engineers but also participate in architectural and key decision-making forums regarding choice of technologies, design approach and Product roadmap
- You will maintain a strong focus on the reliability and performance of our systems centred around a positive customer experience
- Possess a good understanding of cloud platforms and their related Data offerings to be able to contribute to the design and lead the implementation of scalable, resilient data architectures across Azure Fabric and GCP
- Oversee end-to-end Data engineering projects, managing timelines, deliverables, and stakeholder communications
- Collaborate with product & operations teams to align data strategies with evolving business goals
- Ensure good quality code with high levels of code coverage that follow best Engineering practices
- Establish and enforce data quality, integrity, and security standards across all pipelines and storage layers
- Mentor, coach, and grow a high-performing team of data engineers, fostering best practices in code review, testing, and documentation
- Evaluate evolving data technologies (e.g., Fabric, BigQuery, etc.) and integrate new tools to optimize performance and cost
- Define and track key metrics for pipeline health, data freshness, and system performance—driving continuous improvement
- Partner with Architecture, DevOps and Platform Engineering teams to automate deployments, enforce governance, and ensure compliance with regulatory requirements
- Ensure data security, privacy, and compliance with all applicable policies and standards
Our take
AMCS is a global provider of performance sustainability solutions for resource-intensive industries such as waste management, recycling and transport. Leveraging cloud computing, artificial intelligence and other technologies, the company empowers its clients to work towards efficient, net-zero operations.
An industry leader, AMCS serves a wide range of clients including the likes of Ford, Philips and L'Oreal Groupe. It supplies numerous solutions that cover many sides of operations, including a transport software suite, ESG management tools and payment software.
Over the years, AMCS has bolstered the value of its offering with acquisitions such as that of Quentic, Utility Cloud and Figbytes. In total, the company has acquired over 15 firms - each time adding more capabilities to its roster. It is also well-funded, enabling AMCS to continue to transform resource-intensive industries for the better.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Feb 2018
$119.7m
GROWTH EQUITY VC
Aug 2015
$53.9m
SERIES C
Total funding: $220.4m
Company benefits
- Choose how you work, hybrid or onsite
- Gain extensive training, guidance and support
- Work in an environment that is truly collaborative, innovative and supportive
- Have a clear pathway for your progression
- Make an impact and be part of digital ways to a cleaner world!
Company HQ
Towlerton, Limerick, Ireland
Leadership
Jimmy Martin
(CEO & Co-founder)Has been CEO of the company for over 20 years. Before this, they were Head of Automation at Analog Devices.
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