Senior Data Engineer

Senior Data Engineer, Sofia

Why Valtech? We’re advisors, visionaries, creatives and techies. We embrace all things digital. We collaborate with each other. We have fun. We love our clients. We’re looking ahead. We are global.

The Opportunity

At Valtech, we’ve got opportunities to offer you — for learning; for growing; for making world-changing impact; for being a real agent of change. Our global workforce exists to unlock a better way to experience the world, and that all starts with our workplace. We’re proud of:

• What we do
• Our values
• Our workplace
• The borderless framework we work in

The Role

Join our growing team as a Senior Data Engineer. We seek a data engineer who will ensure that the data is accessible, well-structured, and optimized for analysis within a lake house environment, enabling data-driven decision-making, advanced analytics, and machine learning. The role is central to maintaining a balance between the flexibility and scalability of data lakes and the structured query and performance benefits of data warehouses.

Role Responsibilities

• Create and maintain data pipelines to extract, transform, and load (ETL) data from various sources into a data warehouse or data lake.
• Ensure the data pipelines are efficient, scalable, and reliable. Integrate data from different sources, such as databases, APIs, logs, and external data providers.
• Ensure data quality and consistency during the integration process.
• Design and implement data models, including relational databases, NoSQL databases, and data warehouses, to support data analytics and reporting.
• Develop and manage data warehouses or data lakes to store structured and unstructured data.
• Perform data transformation and data cleansing to ensure data is in a usable format for analysis.
• Implement data enrichment and validation processes.
• Implement data security measures and access controls to protect sensitive data.
• Monitor data pipelines and data infrastructure for issues and performance bottlenecks.
• Debug and resolve data-related problems in a timely manner.
• Automate routine data engineering tasks to reduce manual intervention and improve efficiency.
• Maintain documentation for data pipelines, processes, and data models.
• Collaborate with data scientists, data analysts, software developers, and other cross-functional teams to meet data-related requirements.
• Contribute to the development of the organization's data strategy, aligning data engineering efforts with business goals.

Minimum Qualifications

We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all minimum qualifications. If you do not meet all of the preferred qualifications, we still encourage you to apply.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 5 years of experience working in Data
• Proficiency in ETL processes and tools
• Familiarity with databases and data warehousing
• Proficiency in Python, Java, or Scala
• Experience with cloud platforms
• Familiarity with data lakes and warehouses
• Understanding of data quality and governance
• Proficiency in managing data pipelines
• Knowledge of data visualization tools
• Effective teamwork and communication skills
• Willingness to stay updated on industry trends
• Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.
• Current hands-on implementation experience required.

Preferred Qualifications

• Knowledge in Data Science
• Understanding of Machine Learning
• Experience in NoSQL Database
• Familiarity with Real-Time Data Processing
• Containerization Skills
• Familiarity with DevOps
• Data Pipeline Monitoring Tools (e.g., Apache Airflow)
• Knowledge in Data Security
• Expertise in Domain-Specific
• Data Engineering Certifications
• Big Data Certifications

The Benefits

This is a full-time position that comes with an excellent salary and an opportunity to grow within the company based on demonstrated merit.

Beyond a competitive full compensation package, we pride ourselves on offering you flexibility, career advancement & learning and development. Our benefits are country-specific to cater to the needs of our people, so your talent partner will be able to run through the benefits for your location on the screening call.

Your Process

Here’s what to expect from the interview process:

1. Intro Call with the Talent Team (30mins) – If your skills and experience match the role requirements, our Talent team will contact you to arrange a call. The aim of this call is to get to know you and for you to find out more about Valtech.
2. First-Stage Interview (60 minutes) - This will typically be a Q&A style interview, lasting approximately 1 hour. This process is designed to help our team find out about your skills and experience but also what you enjoy and what motivates you.

Making a Decision

Following the interview process, our hiring team will get together to discuss feedback and make a final decision. We aim to get back to you as soon as we possibly can!

Our average recruitment process takes around three to four weeks. You will be assigned a dedicated member of our Talent team to support you throughout the process.

After submitting your application, you will hear from a member of our Talent Acquisition team if your skills and experience match the position. Be mindful of recruitment fraud by only replying and engaging with email contacts that end with the '@valtech.com' domain.

We strive to create an inclusive environment for all candidates. If you have any specific requirements or need reasonable adjustments to participate in the application or interview process, please let us know at kincarta-eutalent@valtech.com.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, our global team of 8,000 professionals in more than 60 offices help brands unlock value in a digitally accelerated world. At the intersection of insights and perspectives, we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known organisations, including L’Oreal, NatWest, DWP, P&G, Volkswagen, and US department of Agriculture.

Valtech will always be recognized not just for the quality of the work we deliver, but for all the amazing people that make it happen. We work to create an equitable workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). At Valtech, we don’t just talk about how to get things done; we transform by doing.