At a Glance
- Tasks: Design and optimise data platforms for AI and advanced analytics.
- Company: Dynamic tech firm in Birmingham with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for skill development.
- Other info: Collaborative environment with a focus on innovation and career growth.
- Why this job: Join a cutting-edge team and shape the future of data engineering.
- Qualifications: 5+ years in Data Engineering with strong skills in Apache Spark and AWS.
The predicted salary is between 51750 - 63250 £ per year.
Duration
Contract
Workload
Full time hours
Setup
Freelance (Daily Rate / Limited Company / Umbrella / Sole Trader)
Location
Birmingham (Hybrid, 3 days onsite)
Our client is seeking a Senior Data Engineer to design and optimise enterprise-scale data platforms that support AI, Machine Learning, and advanced analytics initiatives.
Key Responsibilities
- Design, build, and maintain high-throughput data pipelines using Apache Spark and cloud-native AWS technologies.
- Develop scalable ETL/ELT solutions for structured and unstructured data.
- Support AI/ML and Generative AI initiatives by enabling robust, data-driven platforms.
- Implement modern lakehouse architectures to improve scalability, resilience, and analytics capabilities.
- Optimise SQL-based data transformations and processing performance across large datasets.
- Ensure best practices around data governance, security, monitoring, and reliability.
- Collaborate with cross-functional engineering teams to improve automation, observability, and platform performance.
Must-Have Skills
- 5+ years of Data Engineering experience.
- Strong Apache Spark development skills using Java or Scala.
- Hands-on experience with AWS services such as S3, EMR, Glue, and IAM.
- Advanced SQL expertise.
- Experience building ETL/ELT pipelines and data lakehouse solutions.
- Exposure to AI/ML or Generative AI data ecosystems.
- Strong understanding of data governance, security, and operational resilience.
Nice-to-Have
- Snowflake experience.
- Knowledge of observability tooling, automation, and Dev Ops practices
- #J-18808-Ljbffr
Data Engineer in Birmingham employer: Airswift
As a Senior IT Project Manager in London, you will join a dynamic and innovative team dedicated to driving large-scale digital transformation initiatives. Our company fosters a collaborative work culture that values employee growth, offering opportunities for professional development and advancement within the technology sector. With a focus on meaningful project delivery and a supportive environment, we ensure our employees thrive while making a significant impact on business-critical projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨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 in Birmingham
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Engineer at Airswift, 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 Airswift.
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 Airswift
✨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!
