At a Glance
- Tasks: Lead and manage teams on exciting client projects as a Data Engineer.
- Company: Join Apexon, a digital-first tech firm transforming businesses with innovative solutions.
- Benefits: Enjoy remote work options, health perks, and a bonus based on performance.
- Why this job: Be part of a supportive team, work on diverse projects, and gain valuable certifications.
- Qualifications: Experience in Azure cloud services, SQL/TSQL, and data application architecture required.
- Other info: Access to continuous learning resources and a variety of employee benefits.
The predicted salary is between 43200 - 72000 £ per year.
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.
About the Role: We are currently looking for a Lead Data Engineer to manage teams on client projects.
Your Profile:
- Proven experience as a Lead Data Engineer with a focus on Azure cloud services.
- Experience of managing small teams whilst also being hands-on.
- Strong database fundamentals including SQL/TSQL, performance and schema design.
- Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake.
- Technologies: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI.
- Experience with creating low-level designs for data platform implementations.
- ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation.
- Proficiency in working with APIs and integrating them into data pipelines.
- Strong programming skills in Python.
- Experience of data wrangling such as cleansing, quality enforcement and curation e.g. using Azure Synapse notebooks, Databricks, etc.
- Experience of data modelling to describe the data landscape, entities and relationships.
- Experience with data migration from legacy systems to the cloud.
- Experience with Infrastructure as Code (IaC) particularly with Terraform.
- Proficient in the development of Power BI dashboards.
- Strong focus on documentation and diagramming (e.g. ERDs).
- Strong communication and teamwork skills to collaborate with cross-functional teams effectively.
It would be great if you have:
- Azure Data Fundamentals DP-900 certification.
- Azure Fundamentals AZ-900 certification.
- Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management.
- Machine Learning and AI development experience.
We’re committed to providing our people with a great environment to work in. You can expect ongoing skills-based development, career progression as well as health & well-being benefits and support. You’ll work within a friendly and supportive team, working on a variety of projects and the chance to obtain relevant certifications along the way!
We also offer:
- Up to 10% bonus (based on company and personal performance).
- An employer pension scheme.
- 25 days holiday + 8 bank holidays, with the option to carry forward or 'cash-in' 5 days each year.
- Access to YuLife wellness platform, subscription to Meditopia App, premium subscription to Fiit, life coaching & emotional wellbeing sessions, 24 / 7 virtual GP Access, Employee Assistance Programme.
- Life Insurance & Income protection.
- Enhanced Maternity Pay & Paternity Pay.
- Cycle to work scheme.
- Travel loan scheme.
- A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount.
- Free unlimited Udemy account for every employee to support their continuous learning and improvement.
- Support in obtaining relevant certifications.
Contact Detail:
Apexon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Azure cloud services, especially Azure Data Factory and Azure Synapse Analytics. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to the role.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Highlighting your ability to lead while being hands-on will resonate well with the hiring team.
✨Tip Number 3
Prepare to discuss your experience with ETL pipeline development and data migration from legacy systems to the cloud. Real-world examples of how you've tackled these challenges can set you apart from other candidates.
✨Tip Number 4
Brush up on your programming skills in Python and be ready to talk about your experience with data wrangling and quality enforcement. This technical expertise is crucial for the Lead Data Engineer position.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure cloud services and data engineering. Focus on specific projects where you've managed teams and developed data applications, showcasing your skills in SQL/TSQL, ETL pipeline development, and programming in Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Apexon and how your background aligns with their needs. Mention your experience with Azure technologies and your ability to lead teams effectively, as well as your commitment to continuous improvement and collaboration.
Highlight Relevant Certifications: If you have any relevant certifications such as Azure Data Fundamentals DP-900 or Azure Fundamentals AZ-900, be sure to mention them prominently in your application. This demonstrates your commitment to professional development and expertise in the field.
Showcase Team Collaboration Skills: Apexon values strong communication and teamwork skills. Include examples in your application that illustrate how you've successfully collaborated with cross-functional teams, particularly in data-related projects, to achieve common goals.
How to prepare for a job interview at Apexon
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure cloud services during the interview. Be prepared to discuss specific projects where you've used Azure Data Factory, Azure Synapse Analytics, or Azure Databricks, and how these tools contributed to the success of your data applications.
✨Demonstrate Team Leadership Skills
As a Lead Data Engineer, you'll be managing teams. Share examples of how you've successfully led small teams in the past, focusing on your hands-on approach and how you foster collaboration and communication among team members.
✨Prepare for Technical Questions
Expect technical questions related to database fundamentals, ETL pipeline development, and data modelling. Brush up on SQL/TSQL and be ready to explain your thought process when architecting data solutions, including any challenges you faced and how you overcame them.
✨Emphasise Documentation and Communication
Apexon values strong documentation and teamwork skills. Be ready to discuss how you ensure thorough documentation of your work, such as creating ERDs and supplementary documentation for data platform implementations, and how you communicate effectively with cross-functional teams.