Tech Lead - Big Data Engineer

Tech Lead Big Data Engineer

Do you want to solve some of the hardest problems for business leveraging ML/AI? Do you want to learn how to build algorithms that scale – most of our use cases start with 10 million+ rows of data

Our data scientists & engineers are helping to shape our marketing strategy for a digital world.

What are our goals in Marketing?

• Drive perception

• Drive demand

• Grow the buyer base

• Build the best content

The models and solutions you deliver will be the essential ingredient we use to supply our customers & sales with relevant product recommendations and creative breakthroughs to our business.

We offer you a fast-paced work environment in a diverse team with exposure to Dell teams across the globe. You will be part of a dynamic, collaborative and cross-functional team focused on making significant business impacts.

Key responsibilities:

You will work with other engineers and data scientists to solve some of the hardest business problems. You will learn what it takes to build, deploy & scale ML/AI models in real-world (it’s a hard problem, we assure you). You will build analytical data sets on which model’s will be built. This would entail two key tasks – feature engineering on large datasets and optimization of our pipelines to drive scalability. If you are already good at it, we will make you better.

You will:

• Feature engineering: Stitching together and aggregation of multiple large data sets working with the data scientist to a desired format. You will need to optimize both queries and architecture to support big data sets. SQL is usually the preferred language, but some Spark jobs are necessary.

• Data pipelining: Once the initial dataset are prepared, it is normally run through a further pipeline to prepare it for modelling. Here you will create features that make ML/AI algorithms work (e.g. translating text into category variables). Python/R is usually the preferred language.

Essential Requirements:

• Degree in Business, Computer Science, Engineering, or equivalent professional experience.

• 8 to 10 years of related experience in a professional role with a Bachelor’s degree; or 6 to 8 years with a Master’s degree.

• Experience as a technical leader embedded with Data engineering teams operating in Agile methodologies such as Lean Software Development, Extreme Programming or equivalent.

• Self-directed and ability to build products that drive tangible user outcomes in a fast-paced environment.

• Strong and demonstrable external client-facing skills specifically in the areas of communication, issue, and escalation management, with demonstrated ability to drive cross-functional decision making for highly technical solutions.

Desirable requirements:

• Skills in Python or other programming skills.

• Proven ability to work with varied data infrastructures – including relational databases, Data Warehouses, column stores, NoSQL databases, and file-based storage solutions. Exposure to Software engineering and machine learning or machine learning pipelines is a plus.

Salary starting from: 4 400 Euro/gross monthly

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 1st May 2024

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

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We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.