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- Tasks: Lead the development of data infrastructure and manage a growing team of Data Engineers.
- Company: Join a cutting-edge SaaS startup focused on combating social media manipulation with advanced machine learning.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be at the forefront of tech innovation while making a real impact on narrative intelligence.
- Qualifications: 10+ years in engineering, with 5+ years in data engineering and expertise in cloud platforms.
- Other info: Opportunity to shape the future of data engineering in a fast-paced startup environment.
The predicted salary is between 72000 - 108000 £ per year.
Our client is a Series A funded SaaS startup specializing in Threat Intelligence. They leverage advanced machine learning for narrative intelligence, helping enterprises and government agencies combat social media manipulation and emerging narrative threats. Their platform processes vast amounts of unstructured, cross-channel media data, converting it into actionable insights.
They are looking for a Director of Data Engineering expert to spearhead their development, implementation, and advancement of their data infrastructure. In this role, you will work closely with the Data, Product, and Engineering team. You will be tasked with managing 2 people initially then scale into a consolidated Data team whilst reporting into the VP of Engineering.
Key Responsibilities:- Develop and implement a long-term vision for data engineering and DevOps strategies.
- Collaborate with senior leadership to prioritize initiatives, set objectives, and define measurable outcomes.
- Build, mentor, and lead a diverse team of Data Engineers.
- Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks.
- Lead adoption of modern DevOps methodologies to streamline CI/CD pipelines and deployment processes.
- Partner with cross-functional teams, including product, analytics, and engineering, to align technical solutions with business needs.
- Present project updates, performance metrics, and strategic initiatives to leadership.
- 10+ years of engineering experience, with at least 5+ years in data engineering.
- Proven experience in designing and implementing data architectures, ETL processes, and DevOps pipelines.
- Expertise in cloud platforms AWS, Azure, or GCP, preferably AWS.
- Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, Jenkins, or similar.
- Track record of successfully managing and scaling high-performing technical teams.
- Experience with data orchestration platforms such as Dagster or Airflow.
- Strong database architecture design skills for both structured and unstructured data.
- Advanced knowledge of Elasticsearch or OpenSearch, including configuration and search functionalities.
- Ability to define and communicate data architecture requirements while staying up to date with best practices.
Director of Data Engineering employer: Zendr
Contact Detail:
Zendr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Engineering
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in SaaS startups. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in data architecture and DevOps.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Kubernetes, and data orchestration platforms like Dagster or Airflow. Consider working on personal projects or contributing to open-source initiatives that utilise these tools to showcase your hands-on experience.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing technical teams. Think of examples where you successfully mentored team members or led projects that required collaboration across different departments, as this will be crucial for the role.
✨Tip Number 4
Stay updated on the latest advancements in machine learning and threat intelligence, as these are key areas for the company. Being able to speak knowledgeably about how data engineering can support these initiatives will set you apart during discussions with the hiring team.
We think you need these skills to ace Director of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly your expertise in designing data architectures and managing teams. Use specific examples that demonstrate your leadership skills and technical knowledge.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Discuss how your background aligns with their mission of combating social media manipulation and your vision for advancing their data infrastructure.
Showcase Technical Skills: Clearly outline your proficiency with cloud platforms like AWS, Azure, or GCP, and modern DevOps tools such as Kubernetes and Docker. Provide examples of how you've successfully implemented these technologies in previous roles.
Highlight Leadership Experience: Since the role involves managing a team, emphasise your experience in building and mentoring diverse teams. Share specific instances where you led projects or initiatives that resulted in measurable outcomes.
How to prepare for a job interview at Zendr
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architectures, ETL processes, and cloud platforms like AWS. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your capability to lead the data engineering team.
✨Emphasise Leadership Skills
Since you'll be managing a team, it's crucial to convey your leadership style and experience. Share examples of how you've built and mentored teams in the past, focusing on how you foster collaboration and drive performance.
✨Align with Business Objectives
Understand the company's mission and how your role as Director of Data Engineering fits into their overall strategy. Be ready to discuss how you would prioritise initiatives and set measurable outcomes that align with the business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare to discuss hypothetical scenarios related to data pipeline design or team management, showcasing your ability to think critically and strategically.
