At a Glance
- Tasks: Design and scale data pipelines, analytical models, and fraud intelligence capabilities.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make an impact by working with cutting-edge data technologies and solving real-world problems.
- Qualifications: 4+ years of Snowflake development experience and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Role Summary
We are looking for Data Engineer to design and scale data pipelines, analytical models, and fraud intelligence capabilities, with a strong focus on Snowflake based data warehousing, rule driven detection, and explainable risk outcomes.
- Core Responsibilities
- Design, develop and maintain scalable data pipelines using Snowflake and DBT.
- Build high-quality data models, including dimensional and star schema models.
- Build and optimize ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures
- Develop solutions for time-series datasets and analytical workloads.
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
- Contribute to the ongoing evolution of the organisation's cloud data platform.
- Partner with risk stakeholders to support rule based and analytical fraud logic
- Ensure data quality, lineage, and auditability across MRV/MRD workflows
- Tune SQL performance and optimize warehouse cost and usage
- Support experimentation with advanced analytics and Gen AI driven insights
- Collaborate with platform and backend engineers on end to end data flows
- Required Skills & Experience
- 4+ years of hands on experience as a Snowflake developer, including data modeling and transformation workflows (dbt preferred).
- Strong expertise in advanced SQL, performance tuning, and warehouse optimization.
- Hands on experience building ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures.
Required Personal Skills
- Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles
- Good customer service skills. Ability to deal with difficult situations/individuals gracefully
- Preferred / Nice to Have
- Experience modeling data from SAP ECC / SAP S/4HANA or other enterprise systems
- Snow Pro Certification
- #J-18808-Ljbffr
Data Engineer in Basildon employer: TAGMATIX360
TAGMATIX360 is an exceptional employer that values innovation and expertise, particularly in the realm of payroll technology. With a strong focus on employee growth and a collaborative work culture, we offer our consultants the opportunity to engage in meaningful projects while enjoying the flexibility of hybrid working arrangements. Our commitment to professional development and a supportive environment makes TAGMATIX360 a rewarding place to advance your career in the heart of the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Basildon
✨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 TAGMATIX360!
✨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 TAGMATIX360.
✨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 TAGMATIX360.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at TAGMATIX360, 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 Basildon
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 TAGMATIX360, 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 TAGMATIX360. 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 TAGMATIX360
✨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 TAGMATIX360!
✨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.
