At a Glance
- Tasks: Design and maintain scalable data pipelines for real-time processing and analytics.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Collaborative environment with a focus on professional development and cutting-edge tools.
- Why this job: Be at the forefront of big data technology and make a significant impact.
- Qualifications: Bachelor's degree in IT/Computer Science and 2-5 years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
Education
Bachelors in Science (IT/Computer Science/Engineer)
Employment Type
Full-Time
UK based candidates only.
Job Summary
We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure.
The ideal candidate will have experience in data integration, ETL/ELT processes, data warehousing, and cloud-based data platforms to support analytics and business intelligence.
Key Responsibilities
- Design, develop, and maintain robust data pipelines for batch and real-time data processing.
- Build and optimize ETL/ELT workflows to extract, transform, and load data from multiple sources.
- Develop complex SQL queries and optimize database performance.
- Work with data warehouses, data lakes, and distributed data processing frameworks.
- Implement data quality checks, validation, monitoring, and error-handling mechanisms.
- Collaborate with data analysts, data scientists, BI developers, and business stakeholders.
- Ensure data security, governance, integrity, and compliance with organizational standards.
- Troubleshoot pipeline failures and improve data processing performance.
- Maintain technical documentation for data models, pipelines, and workflows.
- Required Skills and Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 2-5 years of experience in data engineering or a related role.
- Strong proficiency in SQL and Python.
- Experience with ETL/ELT tools and data integration frameworks.
- Knowledge of relational and No SQL databases.
- Experience with data warehousing concepts, dimensional modeling, and database optimization.
- Familiarity with Apache Spark, Apache Airflow, or similar data processing and orchestration tools.
- Experience with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
- Understanding of data pipeline monitoring, testing, and performance optimization.
- Strong analytical, problem-solving, and communication skills.
- Preferred Qualifications
- Experience with Snowflake, Databricks, Amazon Redshift, Google Big Query, or Azure Synapse Analytics.
- Knowledge of Kafka or other streaming technologies.
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
- Experience with data lakehouse architecture and cloud-native data solutions.
- Knowledge of data governance, metadata management, and data cataloging.
Big Data Developer in London employer: Information Tech Consultants
Information Tech Consultants Ltd is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee development, we provide ample opportunities for growth and learning while working on impactful projects for prestigious clients. Our collaborative culture fosters creativity and teamwork, making it a rewarding place for Junior Java Developers to advance their careers.
Contact Details:
Information Tech Consultants Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Developer in London
✨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 Information Tech Consultants!
✨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 Big Data Developer at Information Tech Consultants.
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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 Information Tech Consultants.
✨Apply Directly through Our Website
When you find a suitable opening like Big Data Developer at Information Tech Consultants, 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 Big Data Developer in London
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 Information Tech Consultants, 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 Information Tech Consultants. 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 Information Tech Consultants
✨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 Information Tech Consultants!
✨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.
