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- Tasks: As a Data Engineer, you'll build dashboards and manage data for team experiments.
- Company: Join a dynamic team focused on innovative data solutions in a remote setting.
- Benefits: Enjoy flexible remote work, competitive pay, and opportunities for skill development.
- Why this job: This role offers hands-on experience with cutting-edge tools and impactful projects.
- Qualifications: Must have 5+ years of SQL, Python, and experience with data modelling and visualisation tools.
- Other info: Contract duration is 3 months, with potential for extension.
Location: UK (Remote)
Duration: 3 months+ extendable contract
Day to Day activities:
- Measure success for a metric, identify what data points need to be considered, build dashboards, build the data for the team to experiment on.
- Data Visualization: DS will give the definition of the metrics. Product manager can give insights into what good looks like and what’s the vision.
- Engineers will help ensure the data is logged and make sure they get the right data.
- Ongoing project: Knowledge management – within the support stage, the agents have a knowledge base which they can query to resolve customer queries.
- Support Ad hoc requests – supporting day to day with bug fixes, pulling data etc.
BI and integration tools: Azure Data Factory
Experience with data analysis will be a plus.
Top 3 non-negotiable skills:
- SQL – 5+ years
- Python – 5+ years
- Data Modelling, visualization - Tableau, Micro Strategy
- Integration tools: Azure Data Factory, Airflow – 5+ years
Data Engineer employer: LanceSoft UK
Contact Detail:
LanceSoft UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Airflow, as these are crucial for the role. Consider building a small project or dashboard using these tools to showcase your skills during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on data manipulation and analysis. You might want to solve some real-world problems or case studies to demonstrate your expertise in these areas.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Tableau or MicroStrategy. Have examples ready that highlight how you've used these tools to drive insights or improve decision-making.
✨Tip Number 4
Understand the importance of collaboration in this role. Be ready to talk about how you've worked with product managers or data scientists in the past to align on metrics and deliver successful projects.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data modelling. Include specific projects where you've used Tableau or Azure Data Factory to demonstrate your skills.
Craft a Strong Cover Letter: In your cover letter, explain how your background aligns with the job description. Mention your experience in building dashboards and working with BI tools, and express your enthusiasm for the role.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving data visualisation or integration tools like Airflow, be sure to include them in your application. This will help illustrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at LanceSoft UK
✨Showcase Your SQL Skills
Since SQL is a non-negotiable skill for this role, be prepared to discuss your experience in detail. Bring examples of complex queries you've written and how they contributed to data analysis or reporting.
✨Demonstrate Python Proficiency
Highlight your Python experience by discussing specific projects where you used it for data manipulation or automation. Be ready to explain your coding approach and any libraries you frequently use.
✨Discuss Data Visualisation Techniques
Familiarise yourself with Tableau and MicroStrategy, as these are key tools for the role. Prepare to talk about how you've used these tools to create impactful dashboards and visualisations that drive decision-making.
✨Understand the Business Context
Research the company’s products and metrics they focus on. Being able to discuss how your work can align with their vision will show that you're not just technically skilled but also understand the business implications of your role.
