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- Tasks: Join our Data Team to automate processes, analyse data, and develop innovative solutions.
- Company: A dynamic company in Dorset, focused on enhancing operations through data-driven insights.
- Benefits: Enjoy a flexible hybrid working model with remote options and collaborative in-office days.
- Why this job: Be part of a culture that values innovation, teamwork, and continuous improvement in data management.
- Qualifications: Advanced SQL skills, experience in Python, and strong Excel capabilities are essential.
- Other info: This is an 8-month fixed-term contract covering maternity leave.
Our client is on the lookout for a passionate and skilled Data Engineer to join their dynamic Data Team. This is a Fixed term contract as a Mat cover for a period of 8 months. This role is a fantastic opportunity for someone who is driven and possesses a solid understanding of SQL, various scripting languages, and Excel. This will be flexible hybrid working model, combining in-office collaboration with the convenience of remote work. However, it's important for the candidate to be based in Dorset or its surrounding areas, as they value the synergy of face-to-face interactions.
Some of your responsibilities would include:
- Process Automation: Contribute to the automation of daily business activities, streamlining workflows for efficiency and effectiveness.
- Data Analysis and Organization: Spend time with raw data to cleanse, structure, and ready it for integration into our bespoke system, ensuring data quality and accessibility.
- Solution Development: Utilize your scripting and SQL expertise to create innovative data solutions that support and enhance our operations.
- Ticket Management: Efficiently handle ticketed tasks, prioritizing and resolving issues to maintain smooth business operations.
- Continuous Improvement: Proactively identify and suggest enhancements to our existing systems and processes, liaising with our in-house Development team to implement these improvements.
- Innovation: Scout for opportunities to implement time-saving measures across the company, playing a key role in their development and deployment.
Skills and Competencies Requirements:
- Advanced SQL skills with at least 2 years of practical experience.
- Possess a strong foundation in Python and/or other scripting languages, enabling you to tackle diverse data challenges.
- Advanced Excel capabilities, including complex formulae and pivot tables.
- A basic understanding of Hyper-Text-Markup-Language (HTML).
- The ability to engage effectively with key stakeholders, understanding and translating their needs into technical requirements.
- Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team.
Desirables:
- Familiarity with the Apache Airflow platform.
- Basic knowledge of BI tools such as Power BI to support data visualization and insights.
- Experience with version control using GIT for collaborative and organized code management.
- An understanding of C#/Javascript to identify system-driven data transformations.
- Experience using cloud solutions, particularly Azure and the Fabric Platform.
- Familiarity with Power Query in Excel for efficient data integration and ability to translate existing processes into a scripting language.
Data Science/Engineer employer: Aspire Personnel Ltd
Contact Detail:
Aspire Personnel Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science/Engineer
✨Tip Number 1
Make sure to brush up on your SQL skills before the interview. Since advanced SQL is a key requirement, being able to discuss specific projects where you've used SQL effectively will really impress the hiring team.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, especially Apache Airflow and Power BI. Even if you don't have extensive experience, showing that you've taken the initiative to learn about these tools can set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've contributed to process automation or continuous improvement in previous roles. Being able to share specific instances where you've streamlined workflows will demonstrate your proactive approach and problem-solving skills.
✨Tip Number 4
Since this role involves collaboration with various stakeholders, practice articulating technical concepts in simple terms. This will help you convey your ideas clearly during discussions and show that you can bridge the gap between technical and non-technical team members.
We think you need these skills to ace Data Science/Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced SQL skills, experience with Python or other scripting languages, and proficiency in Excel. Use specific examples from your past work to demonstrate how you've tackled data challenges.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and explain why you're excited about this role. Mention your understanding of the company's needs and how your skills can contribute to their data team.
Showcase Relevant Projects: If you have worked on projects involving process automation, data analysis, or solution development, be sure to include these in your application. Highlight any innovative solutions you've created and the impact they had.
Prepare for Technical Questions: Anticipate technical questions related to SQL, Python, and data management during the interview process. Brush up on your knowledge of Apache Airflow, BI tools, and cloud solutions like Azure, as these may come up.
How to prepare for a job interview at Aspire Personnel Ltd
✨Showcase Your SQL Skills
Since advanced SQL skills are a must for this role, be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and how they contributed to data analysis or automation in previous projects.
✨Demonstrate Scripting Proficiency
Highlight your knowledge of Python or other scripting languages during the interview. Be ready to explain how you've used these skills to solve data challenges or automate processes, as this will show your practical application of the required competencies.
✨Prepare for Data Quality Discussions
Given the emphasis on data cleansing and structuring, think about past experiences where you ensured data quality. Be ready to discuss specific techniques you used and how they improved data accessibility for stakeholders.
✨Engage with Stakeholders
Effective communication is key in this role. Prepare to share examples of how you've engaged with stakeholders to understand their needs and translate them into technical requirements. This will demonstrate your interpersonal skills and ability to collaborate effectively.
