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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 data-driven decision-making in a remote setting.
- Benefits: Enjoy the flexibility of remote work and the opportunity for contract extension.
- Why this job: This role offers hands-on experience with cutting-edge BI tools and impactful projects.
- Qualifications: Must have 5+ years in SQL, Python, and data modelling/visualisation tools like Tableau.
- Other info: You'll support ongoing projects and ad hoc requests, enhancing your problem-solving skills.
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. The product manager can provide insights into what good looks like and what’s the vision.
- Engineers will help ensure the data is logged and that 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 – assisting 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, visualisation - 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 tools for the role. Consider building a small project or dashboard using these technologies to showcase your skills during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on practical applications. You might want to solve real-world data problems or contribute to open-source projects to demonstrate your expertise.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools like Tableau or MicroStrategy. Have examples ready that illustrate 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, as these are crucial for the role.
Craft a Strong Cover Letter: In your cover letter, explain how your skills align 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 demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. A well-written application reflects your attention to detail, which is essential for a Data Engineer.
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 what the interviewers are looking for and demonstrate your interest in contributing to their success.
