Lead Data Engineer

Job DescriptionLead Data Engineer Job Description Our client, a leading organisation, is seeking an experienced Lead Data Engineer to play a key technical leadership role in the design, development and evolution of modern cloud-based data platforms. This is a hands-on architectural position suited to an experienced data engineering professional with deep expertise in Python, AWS and enterprise-scale data solutions. Job Responsibilities Lead the architecture, design and implementation of scalable, secure and high-performing data engineering solutions.

Design and develop modern cloud-native data platforms using AWS services and Python. Provide technical leadership and architectural guidance across data engineering initiatives while remaining hands-on with solution delivery. Design robust ETL/ELT pipelines to support large-scale data ingestion, transformation and integration requirements.

Drive best practices around data architecture, governance, security, scalability and performance optimisation. Collaborate with solution architects, software engineers, business stakeholders and product teams to deliver enterprise data solutions. Evaluate emerging technologies and recommend improvements to existing data engineering frameworks and platforms.

Mentor and support engineering teams through technical leadership, code reviews and architectural direction without direct people management responsibilities. Ensure solutions are resilient, maintainable and aligned with enterprise architecture standards. Experience Required Minimum of 10 years' experience in Data Engineering, Data Platform Engineering or a closely related technical discipline.

Extensive hands-on experience designing and building enterprise-scale data platforms. Strong expertise developing solutions using Python. Extensive experience delivering cloud-native data solutions within AWS environments.

Proven experience designing modern data architectures and implementing scalable data pipelines. Strong understanding of data modelling, data warehousing and distributed data processing concepts. Experience working with large, complex datasets in enterprise environments.

Excellent stakeholder engagement skills with the ability to communicate technical concepts to both technical and non-technical audiences. Strong analytical and problem-solving abilities with a focus on delivering high-quality technical solutions. Desirable Skills Experience with AWS services such as Glue, Lambda, EMR, Redshift, S3, Athena and Step Functions.

Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation. Knowledge of modern orchestration frameworks including Apache Airflow or similar. Experience working with containerisation technologies such as Docker and Kubernetes.

Exposure to streaming technologies including Kafka or Kinesis. Understanding of CI/CD pipelines and DevOps practices. Experience working within Agile delivery environments.

Knowledge of data governance, security and regulatory best practices. Educational Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology or a related discipline. Relevant cloud or data engineering certifications (such as AWS Certified Solutions Architect, AWS Certified Data Engineer or equivalent) would be advantageous.

Working Hours & Benefits Hybrid working model based in Dublin 2. Competitive salary package (Circa 120k base salary plus bonus and strong benefits). Performance-related bonus.

Pension contribution. Healthcare package. Life assurance.

Professional training and certification support. Career progression opportunities within a growing technology team. HOW TO APPLY If you are interested in this role, please apply with your updated CV Skills: Data Engineer Benefits: Bonus Pension Healthcare Best Company to work for TPBN1_IJ