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For Companies 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, wellness perks, and a generous holiday allowance.
- Why this job: Be part of a supportive team, work on diverse projects, and gain valuable certifications.
- Qualifications: Proven experience in Azure cloud services and strong database fundamentals required.
- Other info: Opportunity for career progression and continuous skills development.
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, particularly in Python, as well as your knowledge of data modelling and governance. Being able to articulate your technical expertise will be crucial during discussions with the interviewers.
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 as a Lead Data Engineer, particularly with Azure cloud services. Emphasise your hands-on management skills and relevant technologies like Azure Data Factory and Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Apexon's mission. Mention specific projects or experiences that align with their focus on digital transformation and innovation.
Highlight Relevant Skills: In your application, clearly outline your technical skills such as SQL/TSQL, Python programming, and experience with ETL pipeline development. Be sure to mention any certifications you hold, like Azure Data Fundamentals.
Showcase Team Collaboration: Apexon values strong communication and teamwork skills. Include examples in your application that demonstrate your ability to collaborate effectively with cross-functional teams and manage small teams successfully.
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 successful outcomes.
✨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 applications or migrating data from legacy systems to the cloud.
✨Emphasise Documentation Skills
A strong focus on documentation is crucial for this role. Be ready to discuss your experience with creating supplementary documentation, diagramming (like ERDs), and how you ensure that your work is well-documented for future reference and team collaboration.
