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For Companies At a Glance
- Tasks: Lead a team of data engineers to manage and optimise data operations.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values innovation and excellence in data management.
- Qualifications: Must have a technology degree and 5 years of data experience.
- Other info: Experience with AWS tools is essential for this role.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Data Operations Manager. Duration 6 months
We are seeking a dynamic and driven Data Operations Manager to lead a team of data engineers. You will oversee the daily operations of our data infrastructure and ensure the accuracy, availability, and security of data across the organization.
This role will lead a team of data engineers and analysts, manage data workflows, and collaborate with cross-functional teams to support data-driven decision-making. You will support the Head of Data in the delivery of the data operations roadmap.
Key Responsibilities for the Data Operations Manager:
- Data Infrastructure Management: Oversee the design, implementation, and maintenance of data pipelines, databases, and data warehouses.
- Process Optimization: Develop and refine data operations processes to improve efficiency, scalability, reliability and observability.
- Drive Engineering Excellence: Lead and manage all engineering activities across internal and external teams, ensuring high productivity and quality of execution.
- AWS Expertise: Strong expertise across AWS products, including S3, Glue, Spark, DBT, Terraform, and Redshift.
- Roadmap Prioritisation: Prioritize and manage engineering activities and personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by the Head of Customer Data Operations.
- Collaboration: Work closely with business units, IT, and analytics teams to understand data needs and deliver timely solutions.
- Monitoring & Reporting: Implement monitoring tools and dashboards to track data flow, system performance, and issue resolution.
- Security & Compliance: Ensure data security protocols are followed and support audits and compliance initiatives.
- Improvement and Optimization: Continuously seek opportunities to improve processes, methodology and data governance.
- Standardisation of Delivery: Working with the Project Manager, understand, help define and standardise the approach, activities and artifacts required in order to deliver engineering activities; ensuring that all are robust, reliable and repeatable.
Qualifications & Skills for the Data Operations Manager:
- Technology Degree with at least 5 years’ experience in data
- Proven experience in managing engineering teams in a fast-paced environment.
- Knowledge of AWS services and tools, including S3, Step Functions, Spark, DBT, Terraform, and Redshift.
- Strong leadership and communication skills, with the ability to inspire and motivate a diverse team.
- Communication with stakeholders at all levels is essential.
- A passion for innovation and a relentless drive for excellence.
Data Operations Manager employer: BOSS ERP Consulting
Contact Detail:
BOSS ERP Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Manager
✨Tip Number 1
Familiarise yourself with AWS services, especially S3, Glue, and Redshift. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Prepare examples of how you've optimised data operations in previous roles. Highlight specific processes you improved and the impact it had on efficiency and reliability, as this aligns closely with the responsibilities of the Data Operations Manager.
✨Tip Number 3
Showcase your leadership skills by discussing how you've successfully managed teams in fast-paced environments. Be ready to share stories that illustrate your ability to inspire and motivate diverse teams towards common goals.
✨Tip Number 4
Research StudySmarter's current data initiatives and be prepared to discuss how you can contribute to their data operations roadmap. This shows your genuine interest in the company and your proactive approach to understanding their needs.
We think you need these skills to ace Data Operations Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data operations and management. Emphasise your expertise with AWS products and any leadership roles you've held, as these are crucial for the Data Operations Manager position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data operations and your ability to lead teams. Mention specific examples of how you've improved processes or driven engineering excellence in previous roles.
Highlight Relevant Skills: In your application, clearly outline your technical skills related to data infrastructure management, process optimisation, and collaboration with cross-functional teams. This will demonstrate your fit for the role.
Showcase Leadership Experience: Provide examples of your leadership experience, particularly in managing engineering teams. Highlight how you have inspired and motivated your team to achieve goals, as this is a key aspect of the role.
How to prepare for a job interview at BOSS ERP Consulting
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS products like S3, Glue, and Redshift. Be prepared to discuss specific projects where you utilised these tools, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Leadership Skills
As a Data Operations Manager, you'll be leading a team. Share examples of how you've successfully managed teams in the past, focusing on your ability to inspire and motivate others. This will show that you can handle the responsibilities of the position.
✨Prepare for Process Optimisation Questions
Expect questions about how you've improved data operations processes in previous roles. Think of specific instances where you enhanced efficiency or reliability, and be ready to explain your thought process and the outcomes.
✨Emphasise Collaboration Experience
Collaboration is key in this role. Be ready to discuss how you've worked with cross-functional teams in the past, particularly with IT and analytics. Highlight any successful projects that required teamwork and communication across different departments.
