At a Glance
- Tasks: Automate data infrastructure and deliver software using modern agile practices.
- Company: Innovative consultancy with a global presence and collaborative culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Mentorship opportunities and a focus on continuous improvement.
- Why this job: Join a dynamic team and make an impact on cutting-edge data solutions.
- Qualifications: Significant experience in data pipelines, cloud platforms, and strong Python or SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
- Be Security Cleared or Able to be Security Cleared
- The Company
We have partnered with an innovative consultancy specialising in the delivery of custom software solutions for blue-chip enterprise and public sector clients.
With a global presence spanning the UK, USA, Europe, Australia, India, and South Africa, they provide a collaborative environment where senior engineers can thrive.
The Role
As a Data Engineer, you will be part of a team that utilises modern agile technical practices, including continuous integration, deployment, and fast feedback loops, to deliver pragmatic solutions.
You will work closely with clients to determine data processing and access needs, ensuring the creation and support of highly available data pipelines and storage solutions.
Your responsibilities will include
- Automating data infrastructure and deployments.
- Delivering software using pair programming, TDD, and CI/CD.
- Advocating for agile practices within client organisations and mentoring their team members.
- Helping to improve the overall data capabilities of both the team and the client.
- What We Are Looking For
We are seeking a senior professional who has a deep appreciation for reproducible CI/CD pipelines and knows how to deploy end-to-end to production environments.
Technical Expertise
- Significant experience with data pipelines, platforms, and projects at scale.
- Proficiency in at least one main Cloud provider (AWS, GCP, Azure) and a strong background in Python or SQL.
- Experience applying software engineering best practices and design principles to data pipelines and have a deep working knowledge of your chosen toolsets.
- Experience mentoring other teams members, happy to pair, and actively seek peer reviews on your work.
- Strong experience in SQL and data modelling based on usage.
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Senior Data Engineer employer: Animo Group
This innovative consultancy offers a dynamic and collaborative work environment where Senior Data Engineers can excel. With a strong focus on employee growth, the company provides opportunities for continuous learning and mentorship, ensuring that team members are well-equipped to tackle complex data challenges. Located in a global hub, employees benefit from a diverse culture and the chance to work on impactful projects for prestigious clients across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Animo 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 Senior Data Engineer at Animo 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 Animo Group.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Animo 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 Senior Data Engineer
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 Animo 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 Animo 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 Animo 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 Animo 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.
