MEET GROUPER:

We are our customers’ trusted partner in the exciting world of safeguarding data, strengthening cybersecurity, and strategic consulting. We lead the way in ensuring data integrity, securing information, and navigating regulatory compliance with confidence. With a blend of technical expertise and clever thinking, we redefine GRC and IT strategies, empowering organisations to shine. From wielding cyber-superpowers to mastering security frameworks like ISO 27001:2013 and NIST, we’re certified wizards ready to chart a course to success, strengthen defenses, and turn challenges into opportunities to excel.
So whether our customers are battling cyber dragons or navigating the tumultuous seas of change, Gruper is their trusted ally on the journey to greatness.

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!

• Cloud Services Savvy: Demonstrate hands-on experience with cloud services such as Azure Databricks, IBM Public Cloud, Google Cloud, and AWS, showcasing your ability to leverage cloud infrastructure for advanced data analytics.
• ️Data Science Tool Proficiency: Possess a working knowledge of Data Science tool chains and stacks, including Jupyter and R, enabling you to conduct sophisticated data analysis and modelling tasks.
• Big Data Technology Mastery: Exhibit in-depth knowledge of Big Data technologies such as Hadoop, Cassandra, Kafka, Redis, Hive, and Impala, providing you with a solid foundation for managing large-scale data processing.
• ️ Machine Learning Expertise: Understand Machine Learning algorithms and have experience in running ML models at scale, contributing to data-driven insights and decision-making processes.
• ️ Data Manipulation Proficiency: Showcase experience in data partitioning, transformation, and in-memory computations, particularly in handling large-scale join/group-by/aggregations tasks efficiently.
• Spark Application and Pipeline Design: Demonstrate proficiency in designing and building Spark applications and data pipelines, along with expertise in monitoring and optimizing Spark job performance for enhanced efficiency.
• Customer-Centric Approach: Showcase experience in gathering customer requirements and presenting KPI reporting and data science project outputs, ensuring alignment with client needs and objectives

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!

• Cloud Services Savvy: Demonstrate hands-on experience with cloud services such as Azure Databricks, IBM Public Cloud, Google Cloud, and AWS, showcasing your ability to leverage cloud infrastructure for advanced data analytics.
• ️Data Science Tool Proficiency: Possess a working knowledge of Data Science tool chains and stacks, including Jupyter and R, enabling you to conduct sophisticated data analysis and modelling tasks.
• Big Data Technology Mastery: Exhibit in-depth knowledge of Big Data technologies such as Hadoop, Cassandra, Kafka, Redis, Hive, and Impala, providing you with a solid foundation for managing large-scale data processing.
• ️ Machine Learning Expertise: Understand Machine Learning algorithms and have experience in running ML models at scale, contributing to data-driven insights and decision-making processes.
• ️ Data Manipulation Proficiency: Showcase experience in data partitioning, transformation, and in-memory computations, particularly in handling large-scale join/group-by/aggregations tasks efficiently.
• Spark Application and Pipeline Design: Demonstrate proficiency in designing and building Spark applications and data pipelines, along with expertise in monitoring and optimizing Spark job performance for enhanced efficiency.
• Customer-Centric Approach: Showcase experience in gathering customer requirements and presenting KPI reporting and data science project outputs, ensuring alignment with client needs and objectives.