At a Glance
- Tasks: Design and maintain scalable data pipelines, driving innovation in data ecosystems.
- Company: Established international organisation with a focus on data transformation.
- Benefits: Competitive rate of £450/day, hybrid work model, and potential for extension.
- Other info: Collaborative environment with opportunities to mentor and lead junior engineers.
- Why this job: Shape the future of data-driven decision-making on high-impact projects.
- Qualifications: Proficient in Databricks, Spark, Python, and SQL with strong communication skills.
An established international organisation is seeking a Senior Data Engineer to join their growing Data & Middleware function, driving innovation and excellence across complex data ecosystems. This is a fantastic opportunity to shape the future of a large-scale data transformation programme, working on high-impact projects that enable data-driven decision-making.
Responsibilities for the Senior Data Engineer:
- Design, build, and maintain scalable data pipelines and architectures, ensuring reliability, performance, and best-in-class engineering standards.
- Leverage Databricks, Spark, and modern cloud platforms (Azure/AWS) to deliver clean, high-quality data for analytics and operational insights.
- Lead by example on engineering excellence, mentoring junior engineers and driving adoption of DevOps and CI/CD best practices within the data function.
- Contribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platforms.
- Collaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutions.
- Champion data governance, privacy, and security best practices, ensuring compliance and protection of customer data.
- Continuously improve existing systems, introducing new technologies and methodologies that enhance efficiency, scalability, and cost optimisation.
Essential Skills for the Senior Data Engineer:
- Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming.
- Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines.
- Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions).
- Managing and querying data lakes or Lakehouse's.
- Excellent communication skills with the ability to explain complex technical concepts clearly and persuasively.
Desirable Skills for the Senior Data Engineer:
- Experience with event sourcing, dbt, or related data transformation tools.
- Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric).
- Understanding of machine learning model enablement and operationalisation within data architectures.
- Experience working within Agile delivery environments.
If you are an experienced Senior Data Engineer with strong expertise in Databricks, Azure, and data architecture design, looking for a hands-on role where you can influence technical direction and drive meaningful change, please apply in the immediate instance.
Senior Data Engineer - £450/day Outside - 6 Months + Ext employer: Involved Solutions
Join an established international organisation as a Senior Data Engineer and be part of a dynamic team driving innovation in data transformation. With a hybrid working model in the heart of Central London, you will enjoy a collaborative work culture that prioritises employee growth through mentorship and exposure to cutting-edge technologies. This role offers competitive pay and the opportunity to work on high-impact projects that shape the future of data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - £450/day Outside - 6 Months + Ext
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on your next opportunity!
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your expertise in Databricks, Spark, and Python. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, they want to see how you think and solve problems!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Senior Data Engineer role. We love seeing candidates who are proactive and engaged with our platform!
We think you need these skills to ace Senior Data Engineer - £450/day Outside - 6 Months + Ext
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Spark, and cloud platforms like Azure or AWS. We want to see how your skills align with the responsibilities of the Senior Data Engineer role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our data transformation programme. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:When detailing your technical skills, be specific! Mention your proficiency in Python, SQL, and any experience with CI/CD pipelines. We’re looking for someone who can lead by example, so highlight any mentoring or leadership roles you've had.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Involved Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Apache Spark, and the cloud platforms mentioned in the job description. Brush up on performance tuning and advanced concepts like Delta Lake and streaming. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've designed and built scalable data pipelines in the past. Think about challenges you faced and how you overcame them. This will demonstrate your engineering excellence and ability to drive innovation in complex data ecosystems.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex technical concepts in simple terms. You might be asked to collaborate with cross-functional teams, so being able to articulate your ideas clearly will set you apart from other candidates.
✨Emphasise Your Mentoring Experience
If you have experience mentoring junior engineers or leading teams, make sure to highlight this during the interview. Discuss how you’ve driven the adoption of best practices like DevOps and CI/CD within your previous roles. This shows that you can lead by example and contribute to the team's growth.
