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Head of Data

b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission--to become a trailblazer for digital retail within the Middle East.

As the Head of Data Engineering, you will play a crucial role in overseeing and driving the development of our data infrastructure and engineering capabilities. You will lead a team of talented data engineers to deliver scalable and high-performance data solutions, ensuring that our clients have access to accurate and actionable insights.

Responsibilities

    • Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure high-quality work and the efficient delivery of data engineering solutions.
    • Develop and implement data engineering strategies, frameworks, and best practices that align with business objectives and technical requirements.
    • Oversee the design, development, and maintenance of data infrastructure, pipelines, and systems to ensure data availability, quality, and consistency.
    • Collaborate with cross-functional teams, including data scientists, product managers, and business stakeholders, to identify technical needs and translate them into effective data engineering solutions.
    • Drive innovation by exploring new technologies, tools, and methodologies to continuously improve data infrastructure and pipeline performance.
    • Ensure the security, privacy, and compliance of data infrastructure with relevant regulations, standards, and best practices.
    • Optimize the performance of data systems and pipelines, providing regular updates on performance metrics and progress to senior management.
    • Monitor and manage data engineering projects, ensuring timely and successful delivery while maintaining high standards of data quality and scalability.
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • Proven experience in a leadership role within a data-driven organization
  • Strong knowledge of data management principles and best practices
  • Experience with data modeling, ETL processes, and data warehousing
  • Proficient in data visualization tools such as Tableau or PowerBI
  • Familiarity with cloud platforms like AWS or Azure
  • Excellent analytical and problem-solving skills
  • Strong communication and interpersonal skills to effectively collaborate with stakeholders at all levels

Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.

Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.

Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community

Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.


Equipment: From "Day 1" you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.

What You Should Know About Head of Data, b_labs

At b_labs, we're on the cutting edge of transformation and digitization as the innovative segment of B.TECH, a titan in the Egyptian retail realm. We're not just about changing tech; we're on a mission to redefine the industry itself. As the Head of Data Engineering, you will be at the forefront of this exciting journey, leading a dynamic team of data engineers to enhance our data infrastructure and engineering capabilities. Your role will be pivotal in delivering high-performance data solutions that provide our clients with invaluable insights. You'll guide your team to develop data engineering strategies that resonate with our ambitious business objectives, ensuring data quality and consistency across the board. You will collaborate with a plethora of talented professionals ranging from data scientists to product managers, working together to craft inventive solutions. Your expertise will drive innovation as you explore state-of-the-art tools and technologies. Additionally, you will oversee the security and compliance of our data infrastructure, making sure we're always operating within the best practices and regulations. With a Bachelor's degree in Computer Science or a related field, combined with proven leadership experience in a data-centric organization, you’ll be the cornerstone of our data initiatives. Join us and become part of a collaborative and visionary environment where your contributions will pave the way for digital retail excellence in the Middle East.

Frequently Asked Questions (FAQs) for Head of Data Role at b_labs
What are the key responsibilities of the Head of Data Engineering at b_labs?

As the Head of Data Engineering at b_labs, you'll oversee a team of data engineers, develop data engineering strategies, maintain data infrastructure, drive innovation, ensure data security, and collaborate with cross-functional teams. Your role is pivotal to delivering high-quality data solutions and optimizing operational performance.

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What qualifications are required for the Head of Data Engineering position at b_labs?

To qualify for the Head of Data Engineering role at b_labs, you need a Bachelor's degree in Computer Science, Data Science, or similar fields, along with leadership experience in a data-oriented environment. Familiarity with data management principles, ETL processes, data visualization tools, and cloud platforms like AWS or Azure is essential.

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What is the work environment like for the Head of Data Engineering at b_labs?

At b_labs, the work environment is vibrant and collaborative, featuring creative workspaces and open designs that encourage teamwork. You have the flexibility to choose between working from home or onsite, and we take pride in fostering a supportive community with subsidized lunches and mobility expenses.

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How does b_labs support professional development for the Head of Data Engineering?

b_labs is committed to your professional growth by offering an annual education budget for training, courses, or conferences of your choice. We believe that learning is a continuous journey, and we empower our team to evolve and grow in their careers.

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What impact does the Head of Data Engineering have on b_labs and B.TECH?

The Head of Data Engineering plays a crucial role in transforming data into actionable insights that drive business decisions at b_labs and B.TECH. Your leadership will shape the data architecture and influence how we harness technology to lead the digital retail revolution in the Middle East.

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Common Interview Questions for Head of Data
Can you describe your experience leading a data engineering team?

When answering this question, focus on specific leadership roles you've held, the size of the teams you've managed, and any major projects you've completed. Highlight your management style and how you've fostered collaboration and motivation within your team to achieve goals.

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What data engineering tools and technologies are you most proficient in?

Discuss the data engineering tools you’ve worked with, such as ETL tools, data warehousing solutions, and data visualization platforms. Be specific about your experiences with tools such as Tableau or PowerBI, and how you have applied them to solve real-world problems.

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How do you ensure data quality and integrity in your engineering processes?

Explain your approach to data quality, emphasizing techniques such as regular data validations, monitoring systems, and implementing best practices. Sharing examples of how you've corrected data issues will provide strong insight into your capability.

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How do you stay updated with the latest trends in data engineering?

Discuss resources you use to keep up-to-date, such as industry blogs, webinars, or professional organizations. Mention any recent trends you've noticed and how you think they could benefit b_labs’ data initiatives.

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Describe a challenging project you've managed in the past.

Choose a relevant example that demonstrates your problem-solving skills. Highlight the challenges faced, the steps you took to overcome them, and the results achieved, showcasing your project management method and leadership abilities.

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What strategies do you use to encourage innovation within your team?

Discuss how you create an environment that fosters creativity. Mention practices like brainstorming sessions, hackathons, or encouraging team members to explore new technologies and share their findings.

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How do you approach collaboration with other departments?

Emphasize the importance of communication and alignment with other departments. Provide examples of successful collaborations and how you've effectively translated technical needs into actionable projects that benefit the organization.

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What is your experience with data security and compliance?

Share your knowledge of relevant regulations and best practices you’ve implemented to ensure data security. Describe any experiences you’ve had in developing policies or protocols that enhance compliance.

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Can you provide an example of a time you successfully optimized a data engineering process?

Select a specific example that illustrates your analytical skills. Discuss the process you optimized, the tools you used, and the measurable improvements in performance or efficiency resulting from your changes.

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What key metrics do you track to measure the success of your data projects?

Identify relevant KPIs such as data accuracy, processing time, or user satisfaction. Explain how you collect, analyze, and utilize these metrics to enhance project delivery and align with business objectives.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 16, 2024

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