At a Glance
- Tasks: Design and build scalable data platforms and pipelines for impactful analytics.
- Company: Dynamic tech consultancy focused on secure, data-driven solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in an agile environment with excellent career advancement opportunities.
- Why this job: Join a talented team and make a real impact on exciting projects.
- Qualifications: 3+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 45000 - 60000 £ per year.
Please Note: Due to the exciting nature of this work, applicants must hold a valid British passport - dual nationality won't be accepted.
Salary: £45k - £60k
Location: London - Hybrid
We are seeking a Data Engineer to join a growing technology consultancy delivering secure, data-driven solutions. You’ll work on complex and meaningful projects, designing and building scalable data platforms, pipelines and engineering solutions that support analytics, intelligence and decision-making. This is an opportunity to join an agile organisation where you can make a real impact, work with talented people and immerse yourself in super interesting engagements.
Key Responsibilities:
- Design, develop and maintain data pipelines and engineering solutions
- Work with clients to understand requirements and translate business challenges into technical solutions
- Build ETL/ELT processes and integrate data from multiple structured and unstructured sources
- Design data models, schemas and architectures to support analytics and intelligence use cases
- Improve data quality, governance and security across data solutions
- Support cloud-based, hybrid and on-premise data platforms
- Contribute to technical discussions, client engagements and solution design
Essential Experience:
- 3+ years’ commercial experience in data engineering
- Strong Python and SQL skills
- Experience with ETL/ELT processes and data pipeline development
- Experience working with cloud platforms such as AWS, Azure or GCP
- Knowledge of technologies such as Spark, Kafka, Airflow or similar
- Experience with databases, data modelling and data warehouse solutions
- Understanding of CI/CD, software engineering best practices and secure development
- Strong communication skills and experience working with stakeholders
- Eligible for UK Security Clearance or willing to undergo the process
Let's talk!
Data Engineer in Slough employer: LT Harper Recruitment Group
Join a dynamic and innovative SaaS fintech company that prioritises employee growth and development, offering a collaborative work culture where your expertise in information security will be valued. With a focus on cutting-edge technology and a commitment to excellence, this role provides unique opportunities to lead impactful projects while enjoying competitive benefits and a supportive environment in the heart of the financial services sector.
Contact Details:
LT Harper Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LT Harper Recruitment Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at LT Harper Recruitment Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LT Harper Recruitment Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at LT Harper Recruitment Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Slough
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LT Harper Recruitment Group, 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 LT Harper Recruitment Group. 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!
How to prepare for a job interview at LT Harper Recruitment Group
✨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!
✨Showcase Your Projects
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 LT Harper Recruitment Group!
✨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.
