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- Tasks: Join us as a Data Engineer to design and optimise data pipelines using Azure technologies.
- Company: Apexon is a leading tech firm focused on digital transformation and innovative solutions.
- Benefits: Enjoy a diverse workplace, opportunities for growth, and the chance to work with cutting-edge technology.
- Why this job: Be part of a dynamic team that values creativity and collaboration in a fast-paced environment.
- Qualifications: Bachelor’s degree in a related field and 2-3 years of experience in Data Engineering required.
- Other info: Apexon is committed to diversity and has been certified as a great workplace multiple times.
The predicted salary is between 36000 - 60000 £ 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.
Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
About the Role
We are seeking a talented and motivated Data Engineer with hands-on experience in Azure cloud technologies to join our team in Newcastle/Sunderland. The ideal candidate will play a key role in designing, building, and optimizing data pipelines, integrating various data sources, and supporting the development of scalable data architectures. This is a great opportunity for an individual who is passionate about data engineering and keen to work with modern cloud solutions.
Key Responsibilities
- Design, develop, and maintain ETL pipelines using Azure services, with a focus on Azure Synapse Analytics and Azure Data Factory.
- Develop and optimize ETL processes leveraging Notebooks to ensure efficient data movement and transformation.
- Collaborate with data analysts and business intelligence teams to develop and maintain Power BI semantic models and reports.
- Integrate various data sources, including Oracle technologies, into Azure environments for seamless data access and analysis.
- Contribute to the design and implementation of Azure networking solutions to support data flows and connectivity.
- Ensure data pipelines are highly available, scalable, and secure by leveraging Azure best practices.
- Terraform knowledge is advantageous but not mandatory; willingness to learn and support Infrastructure-as-Code (IaC) initiatives will be appreciated.
- Collaborate with cross-functional teams to ensure smooth delivery of data engineering projects.
Key Skills & Qualifications
- Bachelor’s degree in data engineering, data science or related degree with a 2:1 or above.
- 2-3 years of experience as Data Engineering (REQUIRED).
- Proven experience as a Data Engineer with a focus on Azure Cloud data Services (e.g. Azure Data Factory, Data Lake, etc.).
- Database Skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar).
- Excellent SQL skills.
- Skills in developing data visualizations (e.g. Power BI).
- Strong programming skills, ideally in Python.
- Understanding of ETL pipeline development for data source integrations and data transformations.
- Understanding of data modelling to describe the data landscape, entities and relationships.
- Strong communication and teamwork skills to collaborate with cross-functional teams effectively.
- Inquisitive with an eagerness to learn.
Preferred Qualifications
- Experience with additional Azure services like Azure Data Lake, Azure SQL Database, or Azure Databricks.
- Familiarity with Infrastructure-as-Code (IaC) practices.
- Strong knowledge of data governance and security best practices in the cloud.
- Previous experience in a DevOps environment with CI/CD pipelines.
Our Commitment to Diversity & Inclusion:
Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
Mid Data Engineer employer: Apexon
Contact Detail:
Apexon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid Data Engineer
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Data Factory and Azure Synapse Analytics. Being able to discuss specific projects or experiences where you've used these tools will show your hands-on expertise.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your ability to write complex queries. You might be asked to solve a problem on the spot, so practice common SQL scenarios that relate to data engineering.
✨Tip Number 3
Showcase your experience with ETL processes and data integration. Be ready to discuss how you've designed and optimised data pipelines in previous roles, as this is a key responsibility of the position.
✨Tip Number 4
Highlight your teamwork and communication skills. Since collaboration with cross-functional teams is essential, prepare examples of how you've successfully worked with others to deliver data engineering projects.
We think you need these skills to ace Mid Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure cloud technologies and data engineering. Focus on relevant projects where you've designed or maintained ETL pipelines, especially using Azure services like Azure Synapse Analytics and Azure Data Factory.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and your eagerness to work with modern cloud solutions. Mention specific skills that align with the job description, such as your experience with SQL, Power BI, and any familiarity with Terraform or Infrastructure-as-Code practices.
Showcase Relevant Projects: If you have worked on projects involving data integration or building scalable data architectures, be sure to include these in your application. Describe your role, the technologies used, and the impact of your contributions.
Highlight Soft Skills: Apexon values strong communication and teamwork skills. In your application, provide examples of how you've collaborated with cross-functional teams or contributed to successful project outcomes, demonstrating your ability to work effectively in a team environment.
How to prepare for a job interview at Apexon
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Azure services, especially Azure Synapse Analytics and Azure Data Factory. Be prepared to discuss specific projects where you designed or optimised ETL pipelines using these technologies.
✨Demonstrate Your SQL Skills
Since excellent SQL skills are crucial for this role, be ready to answer technical questions or even solve problems on the spot. Practising common SQL queries and data manipulation techniques can help you feel more confident.
✨Prepare for Collaboration Questions
Apexon values teamwork, so expect questions about how you've collaborated with cross-functional teams in the past. Think of examples where you worked with data analysts or business intelligence teams to deliver successful projects.
✨Express Your Eagerness to Learn
The job description mentions a willingness to learn, especially regarding Terraform and Infrastructure-as-Code. Be sure to convey your enthusiasm for continuous learning and any steps you've taken to expand your knowledge in these areas.
