At a Glance
- Tasks: Design and implement scalable data pipelines using Databricks and Delta Live Tables.
- Company: Join a world-leading Energy Trading company with a focus on innovation.
- Benefits: Competitive pay of around £700 per day, hybrid work model, and career growth opportunities.
- Other info: Collaborative environment with a focus on real-time analytics and decision-making.
- Why this job: Make an impact in the energy sector while working with cutting-edge data technologies.
- Qualifications: Strong experience with Databricks, streaming technologies, and programming skills in Python or SQL.
The predicted salary is between 63000 - 77000 £ per year.
This is an exciting role for a Senior Data Engineer with strong Databricks and Delta to join a world-leading Energy Trading company.
We are looking for a highly skilled Senior Data Engineer with strong analytical capabilities and hands-on experience in building scalable data solutions. The ideal candidate will have expertise in Databricks, streaming architectures, data ingestion frameworks, and dashboarding, along with experience working with SAP data sources.
You will be responsible for designing and implementing scalable data pipelines and enabling real-time and batch analytics across the organization:
- Design and implement scalable data pipelines using Databricks and Delta Live Tables (DLT)
- Develop and manage streaming data solutions for real-time analytics and decision-making
- Ingest data from various sources including SAP systems using Qlik Replicate and ADF to ensure data quality and consistency
- Perform data modelling and optimise data structures for analytics and reporting
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
- Monitor, troubleshoot, and enhance data workflows for performance and reliability
- Maintain technical documentation and contribute to data engineering best practices
Required Skills & Qualifications:
- Strong experience with Databricks - DLT, Delta Lake concepts, UC governance
- Solid understanding of streaming technologies (e.g., Spark Structured Streaming, Autoloader)
- Programming skills in Python, SQL, or Scala
- Proficiency in data modelling, ETL/ELT processes, and data architecture
- Experience in MS Copilot, AI Foundry, Databricks (MosiacAI, MLflow, Agentbricks, Genie)
- Strong analytical background with problem-solving skills
- Performance tuning concepts like watermarking, late data handling, parallelism & checkpointing
- Hands-on expertise in ADF and Qlik Replicate for data ingestion and replication
- Experience working in Azure cloud environments
Senior Data Engineer - Hybrid (Permanent) in London employer: Eaglecliff Recruitment
Eaglecliff Recruitment is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and mentoring opportunities for Agile practitioners, ensuring that our team members thrive in their careers while contributing to high-performing delivery teams in the energy trading sector. Our commitment to transparency and continuous improvement fosters a supportive culture that values every individual's contribution, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid (Permanent) in London
✨Get Involved in Data Science Meetups
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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 Eaglecliff Recruitment.
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We think you need these skills to ace Senior Data Engineer - Hybrid (Permanent) in London
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 Eaglecliff Recruitment, 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 Eaglecliff Recruitment. 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 Eaglecliff Recruitment
✨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 Eaglecliff Recruitment!
✨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.
