At a Glance
- Tasks: Lead data acquisition and design Azure-based data pipelines for impactful solutions.
- Company: Dynamic London-based company focused on data governance and engineering excellence.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Onsite work three days a week with a focus on continuous improvement.
- Why this job: Shape high-value data solutions and make a real impact in various industries.
- Qualifications: Strong expertise in Azure services, Python, SQL, and proven leadership experience.
The predicted salary is between 9750 - 10400 £ per year.
Salary: £9,750 - 10,400 per year
Requirements
- Strong expertise in Azure data services, including ADLS, ADF, Databricks, Synapse, Event Hub, and Kafka.
- Hands-on experience with Python, SQL, and Spark/PySpark.
- Experience with data modeling, metadata, lineage tooling, performance and cost optimization.
- Proven leadership experience managing engineering teams.
- Experience working in Agile and DevOps environments, including CI/CD and test automation.
- Exposure to energy trading systems such as ETRM or Endur, market data sources such as ICE, Platts, Bloomberg, and SAP.
- A degree in Computer Science, Engineering, or equivalent practical experience.
- Azure Data Engineer or Databricks certifications are desirable.
Responsibilities
- Lead the data acquisition function by defining ingestion strategy and scalable batch and streaming data patterns.
- Design and deliver Azure-based data pipelines and platform solutions.
- Standardise connectors, schemas, controls, CI/CD, infrastructure as code, and automated testing.
- Lead onboarding of enterprise and market data sources, ensuring service levels and observability are in place.
- Partner with Product Owners, Architects, and business stakeholders on data design and governance.
- Act as the domain Data Manager for lineage, metadata, quality, access and master data ownership.
- Ensure compliance with data lifecycle, audit, records management and governance standards.
- Drive engineering best practices, operational excellence and continuous improvement.
- Manage capacity planning, skills development and vendor contributions.
- Translate end-user requirements into scalable engineering solutions for Trading, Risk, Finance and Operations.
Technologies
- Azure
- CI/CD
- Databricks
- DevOps
- Kafka
- Marketing
- Python
- PySpark
- SAP
- SQL
- Spark
- Cloud
We are a hiring company based in London offering an initial contract through to the end of the year, with onsite working required three days per week. We are looking for a Data Engineering Lead to help shape and deliver reliable, compliant, and high-value data solutions across Trading, Risk, Finance, and Operations. In this role, you will join a team focused on data governance, engineering excellence, and scalable Azure-based solutions. We also work with businesses across the UK in Finance, Marketing, IT, and Engineering, and we are committed to helping people find roles where they can make an impact and grow their careers.
Data Engineering Lead in London employer: Sivara GmbH
As a leading employer in London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work with cutting-edge technologies in the data engineering field. Our commitment to employee well-being and a supportive environment makes us an excellent choice for those seeking meaningful and rewarding careers.
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We think this is how you could land Data Engineering Lead in London
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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 Sivara GmbH.
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We think you need these skills to ace Data Engineering Lead 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!
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Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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!
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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 Sivara GmbH!
✨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.
