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- Tasks: Design and develop data solutions while optimising data pipelines.
- Company: Join one of Northern Ireland's leading software houses focused on innovation.
- Benefits: Enjoy a collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in a fast-paced team while working with cutting-edge technologies.
- Qualifications: 2+ years in Data Engineering, proficient in Python and SQL, cloud experience preferred.
- Other info: Ideal for passionate individuals eager to learn and contribute.
The predicted salary is between 36000 - 60000 £ per year.
Enso Recruitment are proud to be working exclusively with one of NI\’s leading software houses on the search for a Data Engineer to join their team.
The Data Engineer will be part of a local team in NI, responsible for improving and optimising data architecture and pipelines. The ideal candidate will have experience building and optimising data pipelines and enjoy creating data solutions from the ground up. The role involves supporting developers, database architects, data analysts, and data scientists, ensuring that data delivery is consistent and efficient across projects.
Our client is looking for driven, passionate individuals who work well in distributed teams. While the skills listed below are preferred, the company values candidates who are eager to learn and bring enthusiasm and hard work to the role.
Key Responsibilities:
- Design, develop, and support data solutions, including performance tuning, troubleshooting, and system administration.
- Build and maintain data solutions using Snowflake, dbt, Fivetran, Azure Cloud, Python, Docker, and SQL.
- Participate in the development lifecycle using Agile/DevOps methods and Azure DevOps.
- Translate requirements into actionable tasks.
- Serve as a data integration expert, helping to craft solutions that provide global visibility to stakeholders.
Ideal Candidate:
- At least 2 years of experience in Data Engineering or a similar role.
- Proficiency in programming languages like Python, Java, or Go.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Strong skills in writing SQL queries.
- Experience with ETL tools (Fivetran, Azure Data Factory) and working with large datasets.
- Familiar with DevOps principles and CI/CD practices using tools like Azure DevOps or GitHub.
- Experience in building modern data pipelines.
- Additional duties may be assigned by management.
This is a great opportunity for anyone passionate about data engineering and looking to make an impact in a collaborative, fast-paced environment. If you\’re eager to join a dynamic team, we’d love to hear from you.
If you are interested in learning more about this opportunity, please get in touch with Barry O’Neill, Principal Consultant at Enso Recruitment.
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Data Engineer (Python) employer: Enso Recruitment
Contact Detail:
Enso Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Python)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and Fivetran. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Showcase your understanding of Agile and DevOps methodologies. Be prepared to discuss how you've applied these principles in past projects, as this will demonstrate your ability to fit into their development lifecycle.
✨Tip Number 3
Network with current employees or alumni from the company. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which you can leverage during your conversations.
✨Tip Number 4
Prepare to discuss your problem-solving skills, especially in relation to data architecture and pipeline optimisation. Think of specific examples where you've successfully tackled challenges in previous roles, as this will highlight your practical experience.
We think you need these skills to ace Data Engineer (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, particularly with Python and cloud platforms like Azure. Include specific projects where you've built or optimised data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities listed in the job description. Mention your eagerness to learn and work in distributed teams.
Showcase Relevant Skills: Clearly outline your proficiency in SQL, ETL tools, and any experience with Agile/DevOps methodologies. Use examples from your past work to demonstrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Enso Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any cloud platforms you've worked with. Bring examples of data pipelines you've built or optimised, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Company’s Tech Stack
Familiarise yourself with the tools mentioned in the job description, such as Snowflake, dbt, and Azure Cloud. Showing that you have a grasp of these technologies will demonstrate your enthusiasm and readiness to contribute from day one.
✨Emphasise Collaboration
Since the role involves working with various teams, highlight your experience in collaborative environments. Share examples of how you've successfully worked with developers, data analysts, or other stakeholders to achieve common goals.
✨Prepare for Behavioural Questions
Expect questions about how you handle challenges, work under pressure, and adapt to new situations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and provide clear, concise examples from your past experiences.
