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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 and the chance to enhance your skills with cutting-edge tools.
- Why this job: This role offers hands-on experience with data visualisation and impactful projects.
- Qualifications: Must have 5+ years of SQL, Python, and experience with Azure data factory.
- 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.
- Any 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 analysing 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 some examples of how you've used these languages in past projects to demonstrate your expertise.
✨Tip Number 3
Understand the principles of data visualisation, especially with tools like Tableau and MicroStrategy. Create a portfolio of visualisations that highlight your ability to present complex data clearly and effectively.
✨Tip Number 4
Network with professionals in the data engineering field, particularly those who have experience with knowledge management systems. Engaging in relevant online communities can provide insights and potentially lead to referrals.
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, emphasise your 5+ years of experience in SQL and Python. Mention how your skills align with the job description, particularly in building dashboards and supporting ad hoc requests.
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 metrics they focus on. Being able to discuss how your work can align with their goals will show that you're not just technically skilled but also understand the bigger picture.
