.Looking for a Job That Fits Your Life, anywhere in the World?Ever fancied a role where work molds around your life, no matter where in the globe you are? Welcome to Safeguard Global! We're all about making work fit into your world, wherever that may be.About Us:At Safeguard Global, we're not your average company. Sure, we handle global solutions for over 1500+ clients across 170+ countries, but what really makes us tick is giving you and 2000+ Guardians the freedom to work in a way that suits your style, no matter the time zone in over 50+ countries.What We're After:You are all about work flexibility and making things happen, whether in the heart of a bustling city or tucked away in a serene countryside.You are a team player with a knack for seamless communication, whether it's across the hallway or across continents.Role Overview:Our Data and BI teams are dedicated to providing impactful insights to our payroll management stakeholders and customers. We are committed to empowering internal leaders and stakeholders with access to data that facilitates informed decision-making. Similarly, our customers leverage Safeguard Global analytical tools to gain insights into their international payroll and employee data, enhancing their ability to adapt, thrive, and effectively manage their global workforce.We are currently seeking a skilled Data Analytics Engineer to join our vibrant team. The ideal candidate will possess the skills to seamlessly integrate data analysis with engineering excellence while demonstrating a track record of successfully navigating complex analytical challenges.How you will make a difference:Navigate seamlessly between data engineering and BI teams, combining analytics and engineering expertise to deliver integrated data solutions.Collaborate with cross-functional teams to develop and implement data products that not only align with business objectives but also cater to evolving analytical needs.Contribute to the maintenance and optimization of data models, pipelines, and dashboards.Play a key role in preserving and enhancing data quality and integrity to establish a reliable foundation for various data-driven processes.Provide technical support to stakeholders, addressing inquiries and troubleshooting issues related to data analytics tools and solutions.What will give you an advantage:Degree in Computer Science, Engineering or Math.Proficiency in Python with a focus on data analysis and manipulation.Strong proficiency in SQL for effective data modeling, querying, and analysis.Proven working experience in implementing and optimizing data pipelines.Hands-on experience with cloud platforms (preferably AWS) and event-driven architecture.Experience in data visualization and UI.Expertise in ensuring data quality and integrity through automated monitoring and testing.Excellent communication skills, both written and verbal.Self-motivated, proactive, and capable of working independently or collaboratively in a team