At a Glance
- Tasks: Lead data operations and manage automated pipelines in Databricks for seamless data services.
- Company: Join Airband, a forward-thinking company focused on innovation and collaboration.
- Benefits: Enjoy 25 days paid leave, hybrid working, free broadband, and employee discounts.
- Why this job: Make a real impact by driving data solutions that empower business decisions.
- Qualifications: Experience in data operations and strong skills in Databricks, SQL, and Python.
- Other info: Dynamic team environment with opportunities for professional growth and development.
The predicted salary is between 52000 - 78000 £ per year.
Location: Midlands (Droitwich)
Job Type: Full-Time (40 hours per week) (Hybrid)
Salary: Up to £65,000 per annum
Job Summary: As the Data Operations Manager your role reports to the Head of Platforms & Data, leading our data engineering and integration requirements and ensuring seamless data services for the business from data modelling, data analysis, provisioning data for consumption and supporting business reporting and intelligence aligned to business strategy. This role is responsible for managing data engineers, overseeing the development of automated pipelines in Databricks, and driving efficient data operations that support business needs.
Responsibilities
- Data Operations & Integration
- Oversee the design, development, and maintenance of automated data pipelines in Databricks, ensuring efficiency and scalability.
- Manage data integrations across various platforms, ensuring seamless data flow between systems.
- Ensure data quality, governance, and compliance with industry standards and business requirements.
- Optimize ETL/ELT processes to improve performance and reliability.
- Team Leadership & Collaboration
- Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
- Collaborate with business stakeholders to understand data needs and deliver solutions that drive insights and decision-making.
- Work closely with data analysts, scientists, and IT teams to ensure alignment on data strategy and execution.
- Automation & Performance Optimization
- Drive the automation of data workflows, reducing manual intervention and improving efficiency.
- Monitor and optimize data pipeline performance, ensuring minimal downtime and maximum reliability.
- Implement best practices for data engineering, including version control, testing, and documentation.
- Data Services & Business Enablement
- Provide data services that empower business teams with reliable, timely, and actionable insights.
- Ensure data accessibility and usability for reporting, analytics, and AI/ML initiatives.
- Develop self-service data solutions, enabling business users to leverage data effectively.
Person Specification
- A role model, able to always demonstrate and uphold Airband’s values.
- Excellent planning and organisational skills, resilient with the ability to successfully manage conflicting priorities.
- Self-starter, able to take the lead and bring projects and tasks to completion.
- An eye for detail, focused on implementing robust controls and processes.
- Has tenacity with repeated and enduring efforts to overcome obstacles and/or to complete tasks.
- Pursues excellence in line with the organisation’s norms and values.
Essential
- Proven experience in managing data operations, integrations, and engineering teams.
- Strong expertise in Databricks, including Delta Lake, Spark, and automated pipeline development.
- Hands-on experience with ETL/ELT processes, data governance, and cloud-based data platforms.
- Proficiency in SQL, Python, or Scala for data processing and automation.
- Familiarity with data architecture, warehousing, and business intelligence tools.
Desirable
- Experience with Azure Data Services, AWS, or GCP.
- Knowledge of CI/CD for data pipelines and DevOps practices.
- Understanding of data security, compliance, and regulatory requirements.
Airband Benefits
- 25 days of paid leave a year rising to 30 plus bank holidays with service.
- 5% Airband pension plus a minimum 3% employee contribution.
- Customer referral bonus - a thank you for every customer you send our way.
- We offer hybrid working – a mix of working from home and in the office.
- Free Broadband - If you are in our coverage, you can benefit from free broadband with us!
- Cycle to work, Tech scheme, Healthcare and medical insurance.
- Dental care, and Health cash fund (dependent on the length of service).
- Airshare (employee discount platform) - discounts on everyday shopping, weekly groceries, holidays, the list is endless - save up to £1,000 a year!
- Refer a friend reward scheme.
Pre-employment checks
Please note that you are required to have the right to work in the UK and we request satisfactory references as part of our recruitment process. A DBS check may be required for a number of our roles, particularly those that are customer-facing. Also, a driving licence may be required for positions that require you to be out in the field as part of the role. Recruitment agency support is not required at this time.
Data Operations Manager employer: Airband
Contact Detail:
Airband Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data operations. Understand their tech stack, especially Databricks, and be ready to discuss how your experience aligns with their needs.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on relevant data engineering projects, create a portfolio or GitHub repository. This gives you something tangible to discuss during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Airband.
We think you need these skills to ace Data Operations Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Operations Manager role. Highlight your experience with data operations, integrations, and any relevant technologies like Databricks. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share specific examples of your past achievements in data management and how they relate to the responsibilities outlined in the job description.
Showcase Your Leadership Skills: Since this role involves leading a team, don’t forget to showcase your leadership experience. Talk about how you've mentored others or driven projects to success. We love seeing candidates who can inspire and lead a team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining StudySmarter!
How to prepare for a job interview at Airband
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data operations, especially in Databricks. Be ready to discuss your experience with automated pipelines and how you've optimised ETL/ELT processes in the past. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Data Operations Manager, you'll be leading a team of data engineers. Prepare examples of how you've successfully managed teams before, focusing on mentoring and fostering innovation. Highlight any specific projects where your leadership made a significant impact.
✨Understand the Business Needs
Familiarise yourself with the company’s business strategy and how data supports it. Be prepared to discuss how you would collaborate with stakeholders to deliver actionable insights. This shows that you can align data operations with broader business goals.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, or Scala, as well as your understanding of data governance and cloud platforms. Brush up on these skills and be ready to solve problems on the spot. This will demonstrate your hands-on expertise and readiness for the role.