The Scoop on the Role:

Are you ready to dive into the world of data engineering with Grouper?

We're on the lookout for a Data Engineer to join our Enterprise Architecture Team in Dublin, Ireland. But here's the catch – this role offers remote flexibility, welcoming candidates from across Europe.

As part of our dynamic team, you'll collaborate closely with skilled professionals from various technical backgrounds to deliver cutting-edge, data privacy-compliant analytics insights. This role isn't just about crunching numbers; it's an opportunity to tackle real-world challenges head-on and grow your expertise in Big Data analytics.

At Grouper, we're all about embracing flexibility. Whether you thrive in a traditional office setting or prefer the comfort of your home office, we support a flexible working environment that empowers you to excel.

Here's what awaits you in this exhilarating role:

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• ️Business Objective Translation: Understand customer business objectives and adeptly translate them into actionable data analytics code.
• Software Engineering Excellence: Apply best-practices in Software Engineering to craft robust Big Data analytics applications that effectively deliver value to our clients.
• Automation Advocate: Champion the adoption of automation, particularly in the realm of automated quality checks within existing data products, aiming to streamline processes and enhance efficiency.
• Collaborative Enhancement: Collaborate closely with members of the Data Science and Privacy Risk teams to strengthen and meticulously document data privacy checks, ensuring robust compliance measures are in place.
• ️Best Practice Implementation: Implement and uphold best practices in data management, software testing within a Big Data context, software maintenance, and information security, fostering a culture of excellence and reliability.

What We're Looking For: Data Dynamo! Are you ready to immerse yourself in a role that demands technical mastery and strategic insight? Here's what we're searching for:

• Educational Qualification: Hold a third level degree in a related discipline such as Computer Science, Statistics, or Data Analytics, demonstrating a strong foundation in relevant knowledge areas.
• ‍Programming Proficiency: Possess a proficient working knowledge of Python and/or Scala, coupled with hands-on coding skills, reflecting a commitment to software engineering excellence.
• Technical Expertise: Bring experience in Software Engineering to the table, with a solid understanding of Apache Spark and related Big Data stacks and technologies, enabling effective development within complex data environments.
• Problem-Solving Prowess: Demonstrate the ability to debug complex data issues within extensive datasets containing billions of records, showcasing your analytical acumen and attention to detail.
• ️Code Quality Advocate: Exhibit a strong desire to write clean and efficient code, consistently striving for excellence rather than settling for "good enough."
• ️ SQL Proficiency: Possess a working knowledge of SQL, facilitating effective data manipulation and analysis tasks.
• DevOps and Git Competence: Understand DevOps tools and the Git workflow, contributing to collaborative and efficient development processes.
• Project Lifecycle Experience: Have direct experience with the entire data project lifecycle, from requirements gathering through to design, implementation, evaluation, and presentation of results, demonstrating your capability to deliver end-to-end solutions.

• The Perfect Match: If you possess some of these skills and are ready to make a significant impact in the realm of data analytics, Grouper is excited to hear from you!