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- Tasks: Lead the design and implementation of data architectures and pipelines for impactful insights.
- Company: Commify is a top business messaging provider, empowering over 60,000 businesses globally.
- Benefits: Enjoy a competitive salary, generous leave, healthcare plan, and flexible hybrid working.
- Why this job: Join a culture of innovation, collaboration, and continuous learning in a tech-driven environment.
- Qualifications: Extensive experience in data engineering, especially with Azure services and strong programming skills.
- Other info: Mentorship opportunities and a focus on professional development await you!
The predicted salary is between 52000 - 78000 £ per year.
Commify is a leading provider of business messaging solutions, focused on empowering businesses to connect with their customers in meaningful and effective ways. With an extensive global presence, serving over 60,000 businesses across various industries, we are at the forefront of innovation in communications technology. As we continue to expand our offerings, we are looking for talented professionals who share our passion for technology and excellence.
We are seeking a highly experienced Principal Data Engineer to lead our data engineering initiatives. In this role, you will be responsible for designing and implementing robust data architectures and pipelines that enhance our ability to derive meaningful insights from our data. You will play a critical role in driving data-driven decision making and will collaborate closely with cross-functional teams to ensure that data is accessible, reliable, and valuable.
- Lead the design, development, and implementation of high-performance, scalable, and reliable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, and other Azure data services.
- Architect and manage data solutions within the Azure ecosystem, including Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures.
- Drive the adoption of best practices for data governance, data quality, data security, and data lineage.
- Collaborate closely with data scientists, analysts, and other engineering teams to understand data requirements and translate them into technical solutions.
- Optimise data processing performance and cost efficiency on Azure Databricks, leveraging Spark capabilities effectively.
- Develop and maintain robust monitoring, alerting, and logging for data pipelines.
- Mentor and provide technical guidance to junior and mid-level data engineers, fostering a culture of continuous learning and improvement.
- Evaluate and recommend new data technologies and tools to enhance our data platform capabilities.
- Contribute to the overall data strategy and roadmap, ensuring alignment with business objectives.
- Troubleshoot and resolve complex data-related issues in a timely manner.
The Person:
- Extensive experience as a Data Engineer, with a significant portion in a principal or lead capacity.
- Deep expertise in Azure data platform services, including:
- Azure Databricks (extensive hands-on experience with Spark, Python/Scala for real time data processing).
- Azure Data Factory (maintaining complex data pipelines).
- Azure Data Lake Storage.
- Azure SQL Database and/or Azure Synapse Analytics.
Desirable:
- Experience with real-time data streaming technologies (e.g., Azure Event Hubs, Kafka).
- Knowledge of CI/CD pipelines for data solutions.
- Familiarity with containerisation technologies (e.g., Docker, Kubernetes).
- Experience with other cloud platforms (AWS, GCP) is a plus.
- Relevant Microsoft Azure certifications (e.g., Azure Data Engineer Associate)
- Competitive Salary (£65 – 80,000)
- Company Bonus scheme
- Comprehensive healthcare cash plan
- A generous 27 days of annual leave in addition to Bank Holidays
- 2 Wellbeing leave days and 2 days dedicated to giving back to your community
- Enjoy your birthday off!
- Employer pension contribution at 5%
- Death in service benefit (4 times your salary)
- Annual award recognition
- Fun monthly and quarterly social events
- Opportunities for training and professional development
- Flexible hybrid working arrangements
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Principle Data Engineer employer: Commify
Contact Detail:
Commify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle Data Engineer
✨Tip Number 1
Familiarise yourself with the Azure data platform services mentioned in the job description. Having hands-on experience with Azure Databricks and Azure Data Factory will give you a significant edge, so consider working on personal projects or contributing to open-source projects that utilise these technologies.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Azure technologies. Attend meetups, webinars, or online forums where you can connect with others and learn about their experiences, which could provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data governance, quality, and security principles during interviews. Be ready to share specific examples of how you've implemented best practices in previous roles, as this will demonstrate your expertise and alignment with the company's values.
✨Tip Number 4
Showcase your leadership skills by highlighting any mentoring or team-leading experiences you've had. Since the role involves guiding junior engineers, being able to articulate your approach to mentorship and team collaboration will be crucial in making a strong impression.
We think you need these skills to ace Principle Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Principal Data Engineer position at Commify. Tailor your application to highlight your relevant experience in data engineering, particularly with Azure services.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience with Azure Databricks, Azure Data Factory, and other Azure data services. Provide specific examples of projects where you've designed and implemented data pipelines or architectures.
Showcase Technical Skills: Clearly outline your technical skills, especially in SQL, Python, and any experience with real-time data streaming technologies. Mention any relevant certifications, such as the Azure Data Engineer Associate, to strengthen your application.
Communicate Soft Skills: Since the role involves collaboration with cross-functional teams, be sure to communicate your interpersonal skills and ability to mentor others. Use examples that demonstrate your problem-solving abilities and how you've articulated complex concepts to non-technical stakeholders.
How to prepare for a job interview at Commify
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive experience with Azure data services, particularly Azure Databricks and Data Factory. Highlight specific projects where you've designed and implemented data pipelines, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Principal Data Engineer, you'll need to lead and mentor others. Share examples of how you've guided junior engineers or collaborated with cross-functional teams. Emphasise your ability to communicate complex concepts clearly to both technical and non-technical stakeholders.
✨Discuss Data Governance and Quality
Prepare to talk about your understanding of data governance, quality, and security principles. Be ready to provide examples of how you've implemented best practices in these areas and how they contributed to the success of your previous projects.
✨Stay Updated on Industry Trends
Research the latest trends in data engineering and cloud technologies. Be ready to discuss new tools or methodologies you've evaluated or implemented, and how they could enhance the data platform capabilities at Commify. This shows your passion for continuous learning and innovation.
