At a Glance
- Tasks: Own and optimise customer-focused data domains using Databricks, SQL, and Python/Spark.
- Company: Join Airswift, a global leader in workforce solutions for energy and infrastructure.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team with unmatched geographical reach and talent.
- Why this job: Shape scalable data products and make a real impact in a dynamic environment.
- Qualifications: Expertise in SQL, Python, Spark, and experience with high-volume data processing.
The predicted salary is between 63000 - 77000 £ per year.
This opportunity offers the chance to take ownership of a customer-focused Golden Layer data domain within a remote working environment connected to Canary Wharf. The role is centred on Databricks, SQL, Python/Spark, dimensional modelling, and high-volume transaction processing, with responsibility for data quality, lineage, workflow scheduling, and runtime optimisation. This position will play an important part in shaping scalable data products and supporting analytics consumers through well-defined technical standards and interface contracts.
Required Experience:
- Experience owning Golden Layer facts and dimensions, including customer, identifier, consent, transaction, redemption, and feedback models
- Experience with source-to-target mapping, SCD history handling, CDC, and historical backfill
- Experience resolving cross-system data quality issues and historical reload challenges
- Experience supporting orchestration, CI/CD, testing, observability, and production environments
- Experience working with high-volume transaction processing and performance optimisation
Required Skills:
- Expert SQL
- Strong Python and Spark capability
- Strong Databricks expertise
- Dimensional modelling and data product modelling
- SCD1 and SCD2 design and implementation
- Workflow scheduling, trigger dependency management, and freshness monitoring
- Data lineage, data quality management, and technical documentation
- Ability to define technical standards and interface contracts for downstream consumers
Preferred Qualifications:
- Experience in CRM, loyalty, consent, and customer identity domains
- Exposure to CIS, Comarch, SFMC, AWS/Data Hub, and analytics consumer environments
About Airswift:
Airswift is an international workforce solutions provider within the energy, process and infrastructure industries. Airswift serves as a strategic partner to clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with unique project needs. With over 1000 employees and 9,000 contractors operating in over 60 countries, Airswift's geographical reach and pool of talent available is unmatched in the industry.
CDI Sr Data Engineer 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 CDI Sr 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 Airswift!
✨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 CDI Sr Data Engineer at Airswift.
✨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 Airswift.
✨Apply Directly through Our Website
When you find a suitable opening like CDI Sr Data Engineer at Airswift, 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 CDI Sr 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 Airswift, 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 Airswift. 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 Airswift
✨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 Airswift!
✨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.
