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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, 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 and strong database skills are essential.
- Other info: Access to continuous learning resources like Udemy and wellness platforms.
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 make you stand out as a candidate who can effectively manage client projects.
✨Tip Number 3
Prepare to discuss your experience with ETL pipeline development and data migration from legacy systems to the cloud. Being able to articulate specific examples of your work in these areas will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Brush up on your programming skills in Python and be ready to discuss how you've used it in data wrangling and integration tasks. This technical proficiency is crucial for the Lead Data Engineer role and will show that you're capable of handling complex data challenges.
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. Emphasise your leadership skills and any relevant projects you've managed, particularly those involving data applications and ETL pipeline development.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Apexon. Mention specific technologies listed in the job description, such as Azure Data Factory and Power BI, and explain how your background aligns with their needs.
Showcase Relevant Projects: Include examples of past projects where you successfully led teams or implemented data solutions using Azure. Highlight your programming skills in Python and any experience with data migration or governance.
Highlight Certifications: If you have any relevant certifications like Azure Data Fundamentals DP-900 or Azure Fundamentals AZ-900, make sure to mention them prominently in your application. This can set you apart from other candidates.
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 prepared 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.
