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- Tasks: Join us as a Senior Data Engineer, enhancing our data infrastructure and managing pipelines.
- Company: We're a tech company focused on simplifying processes with innovative solutions.
- Benefits: Enjoy a competitive salary, flexible working, private medical insurance, and generous holidays.
- Why this job: Be part of a small, agile team making impactful contributions in a supportive environment.
- Qualifications: Extensive Data Engineering experience, especially with Azure, Kubernetes, and DevOps practices required.
- Other info: This role offers hybrid work flexibility and opportunities for career development.
The predicted salary is between 49200 - 115200 £ per year.
We are a forward-thinking technology company dedicated to simplifying complex processes through innovative solutions. With a focus on enhancing efficiency and transparency, we strive to deliver outstanding experiences for our customers. Our team operates with a flexible hybrid working model, fostering collaboration and innovation in a supportive environment.
As a Senior Data Engineer, you will play a pivotal role in advancing our data infrastructure to support our expanding scope and responsibilities. Key responsibilities include:
- Enhancing the reliability and stability of our data infrastructure.
- Managing data ingestion pipelines using tools such as Azure Data Factory (ADF) and Python.
- Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models.
- Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect).
- Supporting Data Analytics through the management of DBT, DevOps, and deployment rules.
You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team.
We are looking for candidates with:
- Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake.
- Proficiency in Kubernetes, Infrastructure as Code, and Terraform.
- Expertise in Azure DevOps and a commitment to best practices.
- A preference for simple, transparent solutions and a drive for innovation.
Your ability to deliver reliable, scalable solutions while working in a fast-paced, collaborative environment will be key to success in this role.
We believe in supporting our employees' well-being and professional growth with:
- Competitive salary, with a package up to £82,000 depending on experience.
- Generous holiday allowance and flexible working options.
- Private medical insurance, pension scheme, and cycle-to-work scheme.
- Death-in-service insurance and enhanced sick pay.
- Opportunities for career development through a structured performance management program.
Senior Data Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Azure Data Factory, Kubernetes, and DBT. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved enhancing data infrastructure or managing data pipelines. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your commitment to best practices in data engineering by discussing any relevant certifications or continuous learning efforts. This not only highlights your expertise but also your dedication to staying updated in a rapidly evolving field.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in Data Engineering, particularly with Azure, Databricks, and Delta Lake. Use specific examples to demonstrate your proficiency in managing data ingestion pipelines and deploying tools on Kubernetes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and your commitment to delivering reliable, scalable solutions. Mention how your background aligns with the company's focus on enhancing efficiency and transparency.
Highlight Relevant Skills: In your application, emphasise your expertise in Infrastructure as Code, Terraform, and Azure DevOps. Make it clear how these skills will contribute to the company's goals and your ability to work in a fast-paced, collaborative environment.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Senior Data Engineer role.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Databricks, and Delta Lake in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise and relevance to the role.
✨Understand the Company’s Vision
Research the company’s mission and values. Be ready to explain how your personal approach to data engineering aligns with their goal of simplifying complex processes and enhancing efficiency. This shows that you’re not just looking for a job, but are genuinely interested in contributing to their vision.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data ingestion pipelines or managing data tools on Kubernetes, and be ready to discuss how you overcame them.
✨Emphasise Collaboration and Innovation
Since the role involves working within a small, agile team, highlight your experience in collaborative environments. Share examples of how you’ve contributed to team success through innovative solutions, which will resonate well with their focus on teamwork and creativity.
