Data Engineer - Spontaneous Application

About the Role

We are representing a partner company based in Ireland that is seeking experienced Data Engineers to join their fast-growing technology-driven team. This spontaneous application opportunity allows skilled candidates to present their profiles for current or future openings focused on solving complex data engineering challenges.

The successful candidate will be tasked with designing and maintaining scalable infrastructure to enable large-scale data collection, transformation, storage, and analysis. This role is instrumental in supporting business decision-making, machine learning projects, and the creation of data-driven products through collaboration with multiple cross-functional teams.

Responsibilities

• Architect, develop, and maintain scalable data pipelines integrating multiple sources for data collection and processing.
• Design and refine stable data models and schemas that facilitate analytics, reporting, machine learning, and product development.
• Build and optimize ETL workflows for efficient data extraction, transformation, and load into cloud data warehouses.
• Collaborate closely with machine learning engineers, data analysts, software developers, product teams, and stakeholders to identify and fulfill data needs with reliable technical solutions.
• Monitor and ensure high standards of data quality, system reliability, availability, and performance within data pipelines.
• Identify inefficiencies or bottlenecks and improve data infrastructure and processing as data volume and requirements evolve.
• Contribute to designing the overall data architecture ensuring seamless interaction between pipeline components and cloud infrastructure.
• Establish trustworthy and accessible data foundations that empower data-driven decisions and machine learning models.
• Engage in resolving complex engineering challenges related to data processing, infrastructure, and large-scale systems.
• Bring innovative ideas and share expertise to continuously enhance data capabilities supporting product innovation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a closely related field.
• Minimum of three years’ experience working as a Data Engineer or in a similar data-focused engineering role.
• Proficient programming skills in Python, Java, or comparable languages.
• Strong command of SQL and principles of data modeling.
• Professional experience with cloud-based data warehouse platforms such as Amazon Redshift, Google BigQuery, or similar.
• Hands-on expertise with data processing and ETL tools like Spark, Flink, Databricks, Snowflake, or equivalents.
• Familiarity with real-time messaging and event-streaming platforms, for example Kafka or RabbitMQ.
• Robust understanding of cloud infrastructure and its integration within modern data pipeline architectures.
• Excellent analytical and problem-solving skills to address complex technical issues with scalable solutions.
• Strong communication and collaboration abilities, proficient at working with both technical and non-technical stakeholders.
• Adaptable to a fast-paced, dynamic work environment that values ownership and self-starting initiative.
• Ability to operate effectively within time zones ranging approximately from GMT-3 to GMT+2.

Benefits

• Competitive remuneration package.
• Comprehensive health insurance coverage.
• Access to stock options as part of compensation.
• Fully remote working setup.
• Opportunity to join a technically proficient, engineering-driven team.
• Exposure to complex challenges involving data, machine learning, infrastructure, and product engineering.
• Significant chances for professional development and growth within a scaling technology organization.
• A collaborative culture emphasizing teamwork and technical ownership.
• Annual company retreat to an undisclosed location.
• Chance to contribute meaningfully to innovative, data-centric products impacting customers.

Additional Information

This spontaneous application means that while the role may not be immediately active, high-caliber profiles are regularly assessed to match upcoming Data Engineering needs within the partner organization. The recruitment process is supported by AI-enabled candidate matching, ensuring fair and efficient selection, while final hiring decisions remain the responsibility of the employer.

Applicants should be aware that their personal data will be processed in compliance with data protection regulations, including GDPR, with options to exercise related rights. AI technologies assist in reviewing applications but do not replace human decision-making.