Senior Data Engineer

Overview

The Senior Data Engineer position at Plain Concepts is a unique opportunity for professionals passionate about technology and innovation. The company, a global leader with over 500 employees, has established itself as a focal point for those interested in pushing the boundaries of data engineering. This role is not just about titles; it's about being part of a dynamic team that prioritizes creativity and forward-thinking in developing bespoke data solutions.

Job Location

This position is based in Spain, providing flexibility for candidates who prefer remote work options or choose to work from the office. The flexibility to work from home or on-site reflects the company’s commitment to creating a comfortable and productive working environment.

Contract Type

The position is classified as full-time offering a structured work week of 35 hours. This allows employees to maintain a work-life balance while contributing to exciting projects. Full-time members are expected to engage deeply with their responsibilities while also enjoying the benefits that come with their commitment.

Job Responsibilities

As a Senior Data Engineer, your duties include:

• Participating in the design and development of innovative data solutions tailored to complex projects.
• Developing projects from the ground up with minimal supervision, ensuring strong collaboration among team members.
• Promoting best practices in coding, ensuring that developed solutions are clean and reusable.
• Building ETLs using tools like Spark (Python/Scala) and working on cloud-based projects within environments like Azure or AWS.
• Constructing scalable pipelines and engaging with various cutting-edge technologies.

Required Skills

The ideal candidate should have:

• At least 4 years of experience in data engineering.
• Proficient skills in Python or Scala and experience with Spark for processing large datasets.
• Solid experience with Cloud platforms, specifically Azure or AWS.
• Familiarity with Snowflake and hands-on experience in building data pipelines using CI/CD practices.
• Knowledge in testing (including unit and integration tests).
• Proficiency in using DBT (Data Build Tool) for data transformation and modeling.

Bonus points for those experienced in Infrastructure as Code (IaC), as well as a solid understanding of both SQL and NoSQL databases. Speaking fluent English and possessing a strong team-player mindset will enhance your candidacy.

Salary and Benefits

While specific salary figures are not mentioned, it is stated that the salary will be determined based on market standards and the individual’s expertise. The benefits package is competitive and includes:

• Flexible scheduling, allowing for a better work-life balance.
• Fully remote work capability.
• Flexible compensation options which may include allowances for meals, transport, and childcare.
• Comprehensive health insurance, which includes dental care with a co-payment structure.
• Individual budgets allocated for training or equipment, along with access to Microsoft certifications.
• Opportunities for English lessons to enhance communication skills.
• A birthday day off as a bonus.
• Additional monthly bonuses to cover electricity and internet expenses at home.
• Discounts on gym memberships and participation in various sports activities.
• An annual Plain Camp, which serves as a team-building event.
• Various perks including event attendance, a welcome pack, and seasonal gifts.

Work Culture

At Plain Concepts, they pride themselves on maintaining a 100% technical team that values innovation and technical excellence. They embrace AGILE principles, ensuring teams are multidisciplinary and can operate efficiently with a flat structure. Knowledge sharing and transparency are cornerstones of their culture, fostering a collaborative environment that encourages long-term partnerships. Employees are invited to bring bold ideas to the table, reflecting a commitment to continuous improvement and value generation.

Recruitment Process

The selection process is straightforward and consists of just three steps:

1. A phone screening to assess initial qualifications and mutual fit.
2. Two dedicated interviews with team members to evaluate specific skills and cultural fit within Plain Concepts.

This streamlined process highlights the company’s focus on finding the right candidates efficiently while ensuring transparency and respect for applicants.

Conclusion

In conclusion, the Senior Data Engineer position at Plain Concepts represents not only a chance to advance your career but also an opportunity to contribute to meaningful projects that leverage cutting-edge technology. With a nurturing work environment that emphasizes flexibility, employee well-being, and personal development, this role is ideal for any data engineering professional looking to make an impact in the tech world.

This job offer was originally published on jobicy.com