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 pay, 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: Experience in data pipelines, cloud platforms, and strong Python or SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
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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.
- You apply software engineering best practices and design principles to data pipelines and have a deep working knowledge of your chosen toolsets.
- You are willing to help others, happy to pair, and actively seek peer reviews on your work.
- Strong experience in SQL and data modelling based on usage.
Data Engineer - Contract employer: Animo Group
Join a forward-thinking consultancy that champions innovation and collaboration, offering Data Engineers the chance to work on impactful projects for prestigious clients across various sectors. With a strong emphasis on professional development, agile methodologies, and a supportive work culture, this company provides an excellent environment for growth and skill enhancement, all while being part of a global network that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Contract
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Engineer - Contract
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Engineer - Contract at Animo Group, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Animo Group.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Animo Group
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
