At a Glance
- Tasks: Architect and develop robust data pipelines and analytical systems.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and performance.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: 7+ years in Python and strong AWS knowledge required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, UK
Fixed term Contract - 1 Year
Work Mode: Hybrid (2 days a week in client office, 3 days remote)
Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS, SQL
Key Responsibilities:
- Architect and Develop: Contribute to the platform’s architectural design and build integration, modelling, data persistence, and analytical systems.
- Data Pipelines: Implement, maintain, and test robust data pipelines.
- Metadata Management: Develop and manage metadata processes and tools.
- Performance Monitoring: Ensure the stability and performance of data pipelines.
- Data Quality: Implement tools for data curation, metadata management, and quality assurance.
- Collaboration: Engage with business and technology teams to align the platform with organizational goals.
Preferred Technical Skills:
- Programming: 7+ years of experience in Python.
- Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).
- Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.
- Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.
- Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.
- Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.
- RDBMS: Knowledge of PostgreSQL is a plus.
- Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
Senior Data Engineer in London employer: N Consulting Global
N Consulting Global is an exceptional employer that fosters a collaborative and innovative work culture, particularly for our Senior Angular Frontend Engineer role in Basildon. We offer competitive benefits, a commitment to employee growth through continuous learning opportunities, and the chance to work on impactful projects in the risk and fraud domain, making your contributions truly meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like N Consulting Global before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like N Consulting Global.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like N Consulting Global.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at N Consulting Global, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to N Consulting Global, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab N Consulting Global’s attention and show the tangible impact of your work.
How to prepare for a job interview at N Consulting Global
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at N Consulting Global.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at N Consulting Global.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at N Consulting Global.
