Job Description:
The Opportunity
The Senior Data Engineer will join a team developing a world class data platform to support our customers, products, researchers, and back-office teams.
You’ll join a small squad of Data Engineers and QA specialists empowered to define ways of working that work best for all. You’ll be adding features, developing data pipelines, automating the ETL of complex data and designing and configuring platform solutions that support a wide variety of applications. You’ll have the freedom to come up with innovative solutions to unique challenges and help us use data as a force for good.
What we can offer you:
You will design and implement the data storage model, defining the rules for data governance, data quality, and the data lifecycle.
You will work closely with the Information Architect, Product Owners, and Data Platform stakeholders, ensuring high level designs.
Be responsible for ingesting data into our data lake and provide frameworks and services for operating on that data.
Design and support data pipelines and recommend improvements and modifications.
Build the process required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Develop and implement processes to ensure data accuracy and integrity.
Collaborate closely with our cloud infrastructure team on shared items of work and communicate well.
You will proactively ensure code reviews are prioritised to help unblock the team's work.
You will identify and help others to resolve blockers, aiding delivery.
The skills you will bring:
Designed and built scalable, data-centric systems with over 6 years of engineering experience, including 3 years of specialized focus on processing and transforming large-scale data for enterprise-level systems.
You have hands-on experience with AWS services like Data Pipelines, Glue, Redshift, S3 etc., or equivalent cloud technologies.
You have exceptional coding and design skills, particularly in Spark, Python, and Java.
You have knowledge of dbt, HBase, Apache Spark, Spark streaming, Kafka, Scala, and similar technology stacks.
You have experience in business intelligence data modelling and familiarity with data warehouse concepts such as star schema and data de-normalizing patterns.
You have experience mentoring engineers, helping them develop technical skills and improve team performance.
Achievements:
Successfully processed, transformed, and transported large-scale data, optimizing workflows and ensuring efficient data handling across complex systems.
Applied architectural design principles to create scalable, efficient solutions, enhancing the overall performance and reliability of data platforms.
Demonstrated an analytical and strategic mindset, driving successful project delivery by aligning execution with business goals, resulting in on-time delivery of key data platform features.
Fostered collaborative relationships within cross-functional teams, driving strategic execution and maintaining effective communication to ensure timely delivery of data solutions.
The Company:
At Workhuman® our mission is to bring more humanity to the workplace. We recognise and embrace individuals’ differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don’t think you “check every single box” above, please still consider applying. We’re looking for a human who is collaborative, innovative with a growth mindset
We love what we do because we’re shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world’s leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human connection while increasing employee engagement and productivity.
Did you know we have an award-winning culture across EMEA and North America:We were named as #5 Best Workplace in the Great Place to Work Awards in Ireland in 2022 in the large-sized workplace category. We were also recognised as the Best Workplace for Women and the Best Workplace in Technology in 2020, 2021, and 2022.
In 2021 we were named as #2 Best Workplace in Europe in the medium-sized workplace category.
We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as the Best Place to Work in Boston, U.S. Best Large Places to Work, and U.S. Best Places to Work.
There are currently over 7.5 million users on the Workhuman® cloud across 180 countries.
Our core values are Respect, Determination, Innovation, and Imagination.
Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based solely on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Top Skills
Workhuman Dublin, Dublin, IRL Office
19 Beckett Way, Dublin, Dublin 12, Ireland
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