At a Glance
- Tasks: Join a dynamic team to develop and manage data integration projects.
- Company: Remote-friendly company based in West London with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting chance to work with cutting-edge data technologies and grow your career.
- Why this job: Make an impact by transforming data into actionable insights using modern technologies.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with ETL tools.
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 in Lincoln employer: Young's Employment Services Ltd
Join a dynamic and innovative team as a Data Engineer, where you will have the opportunity to work remotely while contributing to exciting data integration projects. Our company fosters a collaborative work culture that values employee growth, offering continuous learning opportunities and the chance to stay at the forefront of emerging technologies. With a competitive salary and flexible working arrangements, including the option to work onsite just once a month, we provide an excellent environment for professionals seeking meaningful and rewarding employment in the heart of West London.
Contact Details:
Young's Employment Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer in Lincoln
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We think you need these skills to ace Remote Data Engineer in Lincoln
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Young's Employment Services Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Young's Employment Services Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Young's Employment Services Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
