At a Glance
- Tasks: Design and build scalable data pipelines using cutting-edge technologies.
- Company: Dynamic tech consultancy focused on innovation and collaboration.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive environment with strong emphasis on diversity and career development.
- Why this job: Join a forward-thinking team and make an impact in the data engineering field.
- Qualifications: Proficient in Scala, Python, SQL, and Azure cloud platforms.
Duration: 6 Months (Possibility for extension)
Location: London/Hybrid (3 days per week on site)
Rate: A highly competitive Umbrella Day Rate is available for suitable candidates
Role Overview
The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will possess a strong background in developing and maintaining shared component and framework libraries while collaborating closely with Technology, Product, and Business stakeholders to ensure the availability, quality, and reliability of data.
Key Responsibilities:
- Design, develop, and optimise robust data pipelines and ETL processes.
- Engage in hands-on development with Scala, Java, or Python through system integration projects or as a data scientist.
- Utilise technologies such as Spark, Elastic, Restful APIs, JSON, and Tomcat.
- Build reusable libraries and shared capabilities to expedite time to market for Data Engineering delivery teams.
- Continuously improve platform capabilities and maintain overall platform health to address evolving needs.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Ensure data quality, integrity, and security across all data systems.
- Monitor, troubleshoot, and enhance data workflows and performance.
- Provide automation capabilities to assist delivery teams with data validation, testing, and deployments.
- Stay abreast of emerging data engineering technologies and trends.
- Gain experience with Azure cloud services, including Azure Data Factory, Gen 2, and Azure Databricks.
- Work with Elasticsearch and maintain advanced SQL knowledge, preferably on MS SQL Server and Azure cloud databases.
- Navigate the DevOps lifecycle using tools such as Git, ADO, and Jenkins.
- Utilise Jira/Confluence and apply Agile methodologies in projects.
- Maintain high customer satisfaction through the timely delivery of high-quality solutions and effective problem resolution.
- Communicate proactively and effectively with business users, support teams, vendors, and stakeholders.
- Utilise strong analytical skills for diagnosing and troubleshooting potential system issues, demonstrating a quick turnaround in solutions.
Skills & Experience:
- Knowledge of and or exposure to Quantexa would be preferential.
- Highly proficient in Scala, Python, and SQL.
- Well-versed in software engineering and systems design principles.
- Hands-on experience with Azure cloud data platforms is essential.
- Familiarity with Spark and Apache Airflow is required.
- Proficient in Linux/Unix/*nix environments.
- Strong knowledge of ETL tools and data modelling techniques.
Candidates will need to show evidence of the above in their CV in order to be considered.
If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.
We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Data Engineer in London employer: Adecco
Our client in Worthing is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. With competitive pay and flexible hours, employees enjoy a balanced work-life dynamic while having access to growth opportunities within the manufacturing sector. This role as a Kitting Operative not only provides meaningful work but also allows you to be part of a respected organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Adecco before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Adecco.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Adecco.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Adecco, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Adecco.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Adecco.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Adecco.
