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- Tasks: Lead a team of data engineers to implement and maintain data infrastructure and analytics solutions.
- Company: Artefact is a fast-growing data service provider specializing in data consulting and digital marketing.
- Benefits: Enjoy a collaborative culture, professional growth opportunities, and work with cutting-edge technologies.
- Why this job: Join a dynamic team focused on transforming data into impactful business solutions for global clients.
- Qualifications: Bachelor’s degree in Computer Science and 5+ years of relevant experience required.
- Other info: Work with a diverse team of experts across 22 offices worldwide.
The predicted salary is between 60000 - 84000 £ per year.
Job Description
Who we are
Artefact is a new data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have over 1500 employees across 22 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state-of-the-art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
Job Description
We are seeking a seasoned Data Engineer to lead a dynamic team, ensuring the successful implementation and maintenance of data infrastructure and analytics solutions.
Key responsibilities
- Lead, mentor, and develop a team of junior and senior data engineers, fostering a culture of continuous learning and professional growth.
- Oversee the end-to-end delivery of data engineering projects, ensuring they are completed on time, within scope, and to the highest quality standards.
- Coordinate with cross-functional teams, including data scientists, analysts, and other stakeholders, to understand project requirements and deliverables.
- Design, implement, and maintain scalable and robust data pipelines using technologies such as Databricks, MS Fabric, Python, dbt, and Terraform/Terragrunt.
- Identify areas for process optimisation within data engineering workflows and implement best practices to enhance efficiency and reliability.
- Stay updated with the latest industry trends and technologies, recommending and integrating new tools and techniques as appropriate.
- Implement and enforce data governance and security policies to ensure data integrity, privacy, and compliance with relevant regulations.
- Collaborate with clients to understand their data needs and provide expert guidance on the best solutions to meet their objectives.
- Present project updates and technical concepts to non-technical stakeholders in a clear and concise manner.
Necessary Skills
- Proficient in Python, SQL, the Azure cloud platform (including Azure Data Factory), DBT, and Terraform with a strong ability to implement and manage data solutions using these technologies.
- Deep understanding of data architecture, data modelling, ETL processes, and data warehousing concepts.
- Proven experience in leading and mentoring a team of data engineers, with a track record of fostering a collaborative and high-performing work environment.
- Strong decision-making skills and the ability to inspire and motivate team members.
- Strong organizational skills and attention to detail.
- Strong software engineering discipline and experience using best practice tools and processes: Git, CI/CD, Infrastructure as Code, Scrum, and Agile.
- Ability to analyze complex data requirements and translate them into effective data engineering solutions.
- Strong problem-solving skills and the ability to think critically and creatively to overcome technical challenges.
- Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Strong interpersonal skills and the ability to work effectively with cross-functional teams and clients.
- In-depth knowledge of the latest trends and advancements in data engineering, data analytics, and AI.
- Deep understanding of data governance, data security, and compliance requirements.
Qualifications
- A bachelor’s degree in Computer Science
- 5+ years of professional experience in the related field
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Senior Data Engineering Manager employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering. Highlight specific instances where you've mentored junior engineers or led a team through complex projects, as this is crucial for the Senior Data Engineering Manager role.
✨Tip Number 2
Familiarize yourself with the latest tools and technologies mentioned in the job description, such as Databricks, MS Fabric, and Terraform. Being able to discuss your hands-on experience with these technologies will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've implemented data governance and security policies in previous roles. This is a key responsibility of the position, and demonstrating your understanding of compliance requirements will be beneficial.
✨Tip Number 4
Practice explaining technical concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Being able to bridge the gap between technical and non-technical teams is essential for this role.
We think you need these skills to ace Senior Data Engineering Manager
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand Artefact's mission and values. Familiarize yourself with their data-driven solutions and how they impact clients. This knowledge will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python, SQL, Azure, and data engineering projects. Provide specific examples of how you've led teams and delivered successful data solutions.
Showcase Leadership Skills: Since the role involves mentoring and leading a team, make sure to highlight your leadership experience. Discuss how you've fostered collaboration and professional growth within your previous teams.
Communicate Clearly: When writing your application, ensure that you communicate your technical skills and experiences in a clear and concise manner. Remember, you may need to explain complex concepts to non-technical stakeholders.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Leadership Skills
As a Senior Data Engineering Manager, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you've fostered a collaborative environment, and specific examples of how you've helped team members grow.
✨Demonstrate Technical Proficiency
Make sure to highlight your expertise in Python, SQL, Azure, DBT, and Terraform. Prepare to discuss specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Understand the Business Impact
Artefact emphasizes a business-centric approach. Be ready to explain how your data engineering solutions have driven business results in the past. Use metrics or case studies to illustrate your points.
✨Communicate Clearly with Non-Technical Stakeholders
You'll need to present technical concepts to non-technical audiences. Practice explaining complex ideas in simple terms, and prepare examples of how you've successfully communicated with stakeholders in previous roles.
