At a Glance
- Tasks: Join a small team to develop and manage data integration projects.
- Company: Innovative tech company offering remote and hybrid working options.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make an impact by transitioning data to modern infrastructure and enhancing analytics.
- Qualifications: 5+ years in data engineering, strong SQL skills, and proficiency in Power BI.
The predicted salary is between 60000 - 70000 £ per year.
Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month.
The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics.
The key responsibilities for the post include:
- Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data.
- Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases.
- Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques.
- Build data pipelines that clean, transform, and aggregate data from disparate sources.
- Stay up-to-date with emerging trends and technologies in data engineering.
To be considered for the post you’ll need most, if not all the following:
- Proven experience (5 years+) in a data engineering or similar role.
- Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake).
- Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc).
- Strong proficiency in Power BI and Advanced Analytics.
- Good proficiency in Python for data processing, scripting and automation.
- Any experience with DBT, Airbyte or similar transformation and replication products is advantageous.
- Experience with data migration and mapping complex relational data between business systems.
- Strong analytical skills with the ability to translate business requirements into data engineering solutions.
- Excellent problem-solving abilities, attention to detail and ability to work independently or in a team.
- Effective communication and interpersonal skills to foster relationships with stakeholders at all levels.
- Degree in Computer Science, Information Systems, Data Science or a related field.
Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future.
For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd.
Remote Data Engineer employer: Young's Employment Services Ltd
Join a dynamic and innovative team as a Remote Data Engineer, where you will have the opportunity to work on exciting data integration projects while enjoying the flexibility of remote working. Our company fosters a collaborative work culture that values continuous learning and professional growth, offering you the chance to enhance your skills in modern data technologies. With competitive salaries and a supportive environment, we are committed to providing our employees with meaningful and rewarding career paths.
Contact Details:
Young's Employment Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, ETL processes, and data visualisation with Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tests. Practice explaining your past projects and how you tackled challenges, as this will demonstrate your problem-solving abilities and technical expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, ETL tools, and data migration projects. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of data integration projects you've worked on. We love seeing real-world applications of your skills, especially if they involve Azure or Snowflake. Let us know what you've achieved!
Keep It Clear and Concise:When writing your application, keep it clear and to the point. We appreciate a well-structured application that makes it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Young's Employment Services Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Azure, and Snowflake. Brush up on your ETL/ELT tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or complex data migrations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Communicate Effectively
Since you'll be working closely with stakeholders, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve built relationships in previous roles and how you can foster collaboration within a team.
✨Stay Current with Trends
Research the latest trends in data engineering and be prepared to discuss them. Showing that you’re proactive about learning will demonstrate your passion for the field and your commitment to staying ahead of the curve.
