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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.
- 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 tools for the role. Consider building a small project or demo that showcases your ability to integrate data using these platforms.
✨Tip Number 2
Brush up on your SQL skills by working on complex queries and data manipulation tasks. You might even want to create a portfolio of SQL projects that demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Gain hands-on experience with data visualisation tools like Tableau or MicroStrategy. Create dashboards that tell a story with data, as this will be a key part of your day-to-day activities in the role.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience with the specific tools mentioned in the job description. 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 relevant technologies. Mention how your skills align with the company's needs, particularly in data visualisation and integration tools.
Showcase Relevant Projects: If you have worked on any projects involving data dashboards or knowledge management systems, be sure to include these in your application. Describe your role and the impact of your work.
Highlight Problem-Solving Skills: Since the role involves supporting ad hoc requests and bug fixes, mention any experiences where you've successfully resolved issues or improved processes using your data engineering skills.
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.
