Data Analytics Engineer

Safeguard Global

Most of our engineering team works a 4 day work week. All employees however, benefit from flexible scheduling options. We support a variety of different work arrangements.

Only considering candidates who are eligible to work in Europe ⚠️

Looking for a Job That Fits Your Life, anywhere in the World?

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 and 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.

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

Will be a Plus:

  • 3+ years of experience in a similar role
  • Proficiency in additional scripting languages, such as TypeScript
  • Familiarity with Domo, PowerBI, QuickSight, or any BI tools
  • Exposure to the following AWS services or similar technologies: AWS Glue, Athena, EC2, S3, DynamoDB, CloudWatch
  • Understanding of the Payroll and/or HR domains
  • Demonstrable experience in Machine Learning and AI

Our Global Benefits

  • πŸ’» Autonomy & Flexibility (Work in Any Way): Be supported with as much flexibility as possible.
  • πŸ§‘ Bonding Leave: Enjoy paid leave to bond with your new family member.
  • 🎁 2 Charitable Days: Contribute to causes you believe in.
  • πŸ† Reward & Recognition Program: Be rewarded for your success and championing our values.
  • πŸ’° Corporate bonus/SIP: All Guardians are eligible for our annual bonus scheme or sales incentive plan.
  • *οΏ½ Coworking Space: Need to meet with a client, utilize admin services or just get out of the house? We’ve got you covered with flexible workspace options based on location.

Why become a Guardian:

  • *οΏ½ International Environment: Grow your network internationally and collaborate across the world. Interact, discover cultures, and tap into local expertise.
  • ⭐ Our Culture: We emphasize the people factor in everything we do. Our nurturing culture ensures your ideas reach our leaders and your contributions get the recognition they deserve.
  • πŸ“š Learning: We support your continuous growth by providing access to 2 learning platforms, where you can learn at your own pace.

\\\*Candidates should have the rights to work in one of the locations advertised.

Next Steps:

Ready to join a workforce that shapes itself around your life, embraces remote work like a pro? Apply, by clicking on the following link.We wish you the best with your application. Our Guardian promise to you is to keep in touch to arrange the next stage should your application meet the position's requirements, and or a gentle update if you have been unsuccessful at this time.

Welcome to the Future of Work!

#LI-AT2

#LI-REMOTE

At Safeguard Global, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and Guardians.

Safeguard Globalsafeguardglobal.com

Global leader in workforce management, offering comprehensive solutions for hiring, payroll, and HR services in over 165 countries.

Working Week

Most of our engineering team works a 4 day work week. All employees however, benefit from flexible scheduling options. We support a variety of different work arrangements.

  • Mon
  • Tue
  • Wed
  • Thu
  • πŸ–οΈ
    Fri

Our Vacation Policy

We provide standard vacation and public holidays; specifics vary by global location. For the UK this would equate to 28 days plus 2 Charitable Days.

  • 28 days
  • 52 Fridays
  • 80 days off per year

Remote Working Policy

We work 100% remotely from all over the world.

Company Benefits

  • Health insurance
  • 401(k) company contribution
  • Flexible working hours
  • Generous parental leave
  • Dentalcare
  • Equity / options
  • Equipment allowance
  • Professional Development Budget

Desirable Skills and Experience

  • Python
  • SQL
  • TypeScript
  • Data Analysis
  • Data Manipulation
  • Data Modeling
  • Data Pipeline Optim.
  • Data Visualization
  • Data Integrity
  • Machine Learning
  • AI

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