Data Engineer

Ten Group; Ciudad de México; Presencial; USD 60,000 - 100,000; Jornada completa

Descripción de la vacante

An established industry player seeks a skilled Data Engineer to innovate and enhance data architecture. In this role, you will create a systematic ETL approach, support analytics, and collaborate with various teams to tackle technical challenges. Join a dynamic and inclusive team that values diversity and personal growth, offering a competitive salary and flexible working arrangements. With generous paid time off and unique rewards programs, this opportunity not only promises professional development but also a fulfilling work-life balance. If you're ready to contribute to a trusted service business and make a difference, we want to hear from you!

Servicios

Flexible working arrangements

Generous paid time off

Paid sabbatical after five years

Remote Working Holidays

Travel and entertainment discounts

Extra Mile Awards

Loyalty Rewards program

Formación

• 3-5 years of experience in data engineering or related fields.
• Experience with SQL and cloud technologies like Azure and AWS.

Responsabilidades

• Create and maintain data architecture aligned with business needs.
• Support analytics team in building data pipelines for Tableau.

Conocimientos

Data Engineering

ETL Process

SQL

Azure

AWS Redshift

Snowflake

Collaboration

Problem-solving

Analytical Thinking

Adaptability

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Tableau

Cloud Technologies

Descripción del empleo

At TEN our goal is simple, to become the most trusted service business in the world.

We are already the global market leader for lifestyle management and concierge services, providing services from a strong global office network with over one thousand employees.

We deliver our service through a combination of Ten's proprietary, unique technology-enabled platform, and the expertise of our highly trained lifestyle managers. Ten is growing quickly and has ambitious plans to innovate and to keep inspiring and to continue to improve the lives of millions of members. Will you help take us there?

Overview

Create a systematic ETL approach to plan, create and maintain data architecture while keeping it aligned with business requirements. Support the data team in improving the process to store optimized datasets. Support the analytics team in building the data pipelines for the Tableau and support the Data Scientist in creating the datasets for Machine Learning and predictive models.

Key responsibilities:

1. Putting together large, intricate data sets to satisfy both functional and non-functional business needs.
2. Building necessary infrastructure using Cloud based and SQL technologies.
3. Helping stakeholders, including the Analytics, Preposition, Operations and executive teams, with technical data difficulties.
4. Working on data-related technical challenges while collaborating with stakeholders to support their data infrastructure needs.
5. Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results.
6. Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
7. Reformulating existing frameworks to maximize their functioning.
8. Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.

Minimum Requirements:

• 3-5 years of experience as data engineering, data analyst, software engineer or related.
• Experience in building ETL process on SQL and cloud-based technologies.
• Experience working with Azure, AWS Redshift, SQL, Snowflake etc.
• Advanced english level (B2-C1)

Skills and competencies:

• Azure
• AWS Redshift
• SQL
• Snowflake
• Collaboration and teamwork
• Adaptability and continuous learning
• Continuous improvement and proactive mindset
• Problem-solving and analytical thinking

Benefits & Rewards

At Ten, we believe our people are at the core of everything we do. We’ve cultivated a culture that not only acknowledges hard work but celebrates and rewards it. From regular appraisals to our annual Extra Mile Awards, we ensure that those who go above and beyond receive the recognition they deserve. We’re committed to supporting our employees in achieving both their personal and professional aspirations, encouraging everyone to integrate their goals and interests into a fulfilling career with us.

Our offerings are tailored to meet your needs. Alongside a competitive salary, you’ll gain access to extensive professional lifestyle and travel networks, broadening your horizons and connections. We also provide flexible working arrangements, allowing you to balance your home and office life seamlessly.

We value the importance of rest and giving back, which is why we offer a generous paid time off package, including a day each year dedicated to volunteering for a cause close to your heart. Additionally, after five years of service, you’ll enjoy a paid sabbatical, giving you a month to focus on personal pursuits without using your annual leave.

Our Ten Loyalty Rewards program further shows our appreciation, with bonuses and thoughtful gifts as a token of gratitude for your commitment. For those with a love of exploration, our Remote Working Holidays allow you to combine work and travel, anywhere in the world. Plus, as part of our team, you’ll enjoy exclusive travel and entertainment discounts, just like our members.

At Ten, you’ll be part of a global, dynamic, and inclusive team, with diversity at its core and endless opportunities for growth.

Join us and experience a workplace where you can truly thrive.

Commitment to Diversity

We encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.