At a Glance
- Tasks: Build and maintain data pipelines while supporting reporting and dashboards.
- Company: Join a dynamic team at Lucid, committed to diversity and inclusion.
- Benefits: Gain hands-on experience with cutting-edge tools and technologies.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact on data-driven decision-making across the organisation.
- Qualifications: Strong Python and SQL skills, plus experience with data platforms like Snowflake.
The predicted salary is between 40000 - 50000 £ per year.
Location: Larne, Northern Ireland (On-site)
Contract Duration: 12 months
Role Overview
Our customer has an urgent opportunity for a Data Engineer to support critical data and analytics workstreams. This role will focus on building and maintaining data pipelines, supporting reporting and dashboards, and delivering automation solutions across the business. You’ll play a key role in supporting ongoing and upcoming projects, helping ensure delivery timelines are met and contributing to high-priority initiatives. Working as part of a small, collaborative team, you’ll engage with cross-functional stakeholders and support data-driven decision-making across the organisation.
Required Experience
- Strong Python and SQL experience
- Experience working with Snowflake or similar data platforms
- Hands-on experience with Power BI, Power Apps, and Power Automate
- Experience working with CRM data (ideally Salesforce)
- 3–5+ years’ experience in data science, data analysis, or data engineering
- Strong stakeholder management and communication skills
- Proven ability to deliver work and support project execution in a corporate environment
If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes of applications we are unable to contact every application. If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values ‘Honesty, Integrity and Pragmatism’. We are proud to provide equal opportunities in line with our Diversity and Inclusion policy and welcome applications from all suitably qualified or experienced people, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us via the details below.
Data Engineer in Larne employer: Lucid Support Services Ltd
At Lucid, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in Larne, Northern Ireland. Our commitment to employee growth is evident through ongoing training opportunities and a supportive environment that values diverse perspectives. Join us to be part of a team that not only drives impactful data solutions but also prioritises your professional development and well-being.
Contact Details:
Lucid Support Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Larne
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field. We all know that sometimes it’s not just what you know, but who you know. Attend meetups or webinars to expand your circle and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data visualisation tools like Power BI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common data engineering interview questions and scenarios. Remember, communication is key, so be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team and contribute to exciting projects.
We think you need these skills to ace Data Engineer in Larne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your strong Python and SQL experience, and don’t forget to mention any hands-on work with Snowflake or similar platforms. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your experience aligns with our needs. We love seeing enthusiasm and a bit of personality in applications.
Showcase Your Projects:If you’ve worked on relevant projects, make sure to include them in your application. Whether it’s building data pipelines or creating dashboards, we want to know how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Lucid Support Services Ltd
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines or working with platforms like Snowflake.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented automation solutions or created dashboards using Power BI. Highlight your role in these projects and how they contributed to data-driven decision-making.
✨Engage with Stakeholders
Since this role involves cross-functional collaboration, think of examples where you've successfully managed stakeholder relationships. Be ready to discuss how you communicated complex data insights to non-technical team members.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach a data-related challenge, and explain your thought process clearly. This will show your analytical skills and ability to deliver under pressure.
