Mid Data Engineer

Mid Data Engineer

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and optimise data pipelines using Azure technologies.
  • Company: Apexon is a digital-first tech firm focused on business transformation and innovative digital experiences.
  • Benefits: Enjoy a diverse workplace, remote work options, and opportunities for continuous learning.
  • Why this job: Join a dynamic team passionate about data engineering and modern cloud solutions.
  • Qualifications: Experience in Azure cloud services and ETL processes is essential.
  • Other info: Apexon values diversity and has been certified as a great workplace.

The predicted salary is between 28800 - 48000 £ 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.

About the Role

We are seeking a talented and motivated Mid 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

  • Proven experience as a Data Engineer or in a similar role, with expertise in Azure cloud services.
  • Strong hands-on experience with Azure Synapse Analytics and Azure Data Factory for data integration, transformation, and orchestration.
  • Proficiency in designing and managing ETL processes using Notebooks.
  • Experience with Power BI for semantic model creation and report development.
  • Familiarity with integrating Oracle data sources within Azure environments.
  • Excellent problem-solving and communication skills.

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.

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.

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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 Synapse Analytics and Azure Data Factory. Being able to discuss specific projects or experiences where you've used these tools will show your hands-on expertise and make you stand out.

✨Tip Number 2

Network with current employees or professionals in the data engineering field, particularly those who work with Apexon. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Stay updated on the latest trends and best practices in data engineering and cloud technologies. Being knowledgeable about recent developments can help you demonstrate your passion for the field during interviews.

✨Tip Number 4

Prepare to discuss your problem-solving skills and how you've tackled challenges in previous roles. Providing concrete examples of how you've optimised ETL processes or integrated data sources will showcase your capabilities effectively.

We think you need these skills to ace Mid Data Engineer

Azure Cloud Services
ETL Pipeline Development
Azure Synapse Analytics
Azure Data Factory
Data Integration
Data Transformation
Power BI
Oracle Data Source Integration
Data Governance
Cloud Security Best Practices
Problem-Solving Skills
Communication Skills
Terraform Knowledge
Infrastructure-as-Code (IaC)
Collaboration with Cross-Functional Teams

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Mid Data Engineer position at Apexon. Familiarise yourself with Azure services, ETL processes, and data integration techniques mentioned in the job description.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your hands-on experience with Azure technologies, ETL pipelines, and any projects involving Power BI or Oracle data sources.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your motivation to work with modern cloud solutions. Mention specific projects or experiences that demonstrate your expertise in Azure and your problem-solving abilities.

Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.

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 and maintained ETL pipelines using these tools.

✨Demonstrate Problem-Solving Skills

Apexon values excellent problem-solving abilities. Prepare examples of challenges you've faced in data engineering and how you overcame them, particularly in cloud environments. This will show your analytical thinking and adaptability.

✨Familiarise Yourself with Power BI

Since the role involves developing Power BI semantic models and reports, brush up on your Power BI skills. Be ready to discuss how you've used Power BI in previous roles to create impactful visualisations and reports.

✨Emphasise Collaboration Experience

Collaboration is key in this role. Share experiences where you've worked with cross-functional teams, such as data analysts or business intelligence teams, to deliver successful data engineering projects. Highlight your communication skills and teamwork.

Mid Data Engineer
Apexon
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  • Mid Data Engineer

    Full-Time
    28800 - 48000 £ / year (est.)
  • A

    Apexon

    50-100
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