At a Glance
- Tasks: Design and optimise data pipelines using Azure and Databricks for seamless data integration.
- Company: Join Apexon, a digital-first tech firm transforming businesses with innovative solutions.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Apexon values diversity and is committed to creating an inclusive work environment.
- Why this job: Be part of a dynamic team shaping the future of data engineering in a global company.
- Qualifications: Experience in Azure cloud services and ETL processes; strong problem-solving skills.
The predicted salary is between 50000 - 70000 £ 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 seeking a talented and motivated Data Engineer with hands-on experience in Databricks & 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 Databricks & Azure Datafactory.
- 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 into Azure environments for seamless data access and analysis.
- Contribute to the design and implementation of Azure solutions to support data flows and connectivity.
- Ensure data pipelines are highly available, scalable, and secure by leveraging Azure best practices.
- 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.
- Experience with Azure services like Azure Data Lake and Azure Databricks.
- Proficiency in designing and managing ETL processes using Notebooks.
- Experience with Power BI for semantic model creation and report development.
- Familiarity with integrating various data sources within Azure environments.
- Basic understanding of Azure networking concepts and their relevance to data engineering.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Familiarity with Infrastructure-as-Code (IaC) practices.
- Knowledge of Terraform is beneficial but not required.
- 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.
Locations
Senior Data Engineer in Cheshire, Warrington employer: Apexon
Apexon is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the Senior Data Engineer role in Newcastle/Sunderland. With a strong commitment to employee growth, Apexon offers opportunities to work with cutting-edge technologies in a collaborative environment, backed by industry leaders like Goldman Sachs. Employees benefit from a diverse workplace certified by Great Place To Work®, ensuring a supportive atmosphere where innovation thrives and career development is prioritised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Cheshire, Warrington
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Apexon.
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We think you need these skills to ace Senior Data Engineer in Cheshire, Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Apexon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Apexon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Apexon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Apexon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
