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- Tasks: As a Data Engineer, you'll build dashboards and ensure accurate data logging.
- 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 in SQL, Python, and data modelling/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 discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on data manipulation and analysis. You might want to prepare examples of past projects where you've successfully used these languages to solve real-world problems.
✨Tip Number 3
Understand the principles of data visualisation and be ready to discuss how you’ve used tools like Tableau or MicroStrategy in previous roles. Having a portfolio of visualisations can really set you apart.
✨Tip Number 4
Network with current Data Engineers or professionals in similar roles. Engaging in relevant online communities or forums can provide insights into the company culture and expectations, which can be beneficial during interviews.
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 requirements. 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 spelling or grammatical errors. 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 services to understand their metrics and goals. This will help you align your answers with their vision and demonstrate that you can contribute effectively from day one.
