Data Engineer : Tech Lead – Databricks in London

Data Engineer : Tech Lead – Databricks in London

London Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
Eaglecliff Recruitment

At a Glance

  • Tasks: Lead and design data solutions to maximise value from data in a dynamic energy trading environment.
  • Company: Join a world-leading Energy Trading company with a focus on innovation.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Be part of a community-focused team driving change in the energy sector.
  • Why this job: Make a real impact by building cutting-edge data solutions and mentoring future tech leaders.
  • Qualifications: Expertise in Databricks, PySpark, Python, SQL, and strong communication skills.

The predicted salary is between 72000 - 88000 Β£ per year.

Contract London, Waterloo Posted 2 weeks ago Competitive USD / Year We are looking for a Data Engineer Tech Lead to join a world-leading Energy Trading company to lead, design and build data foundations and end-to-end solutions for the Business to maximize value from data.

The candidate is expected to be a subject matter expert who designs and builds data solutions as well as AI-coded automated data pipelines while also mentoring junior engineers.

They are also a key driver in translating Vision and Data Strategy into IT solutions and delivering on them.

Strong hands-on expertise in Databricks, Py Spark, Python and SQL is central to this role.

Key Skills Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing Git Hub, Git Hub Actions, Azure Dev Ops Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, Sonar Qube, Py Test AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions.

Deep data focus with expertise across relevant technology domains.

A skilled communicator capable of engaging both technical developers and business managers; respected and trusted by leaders and staff.

Actively delivers the roll-out and embedding of Data Foundation initiatives in support of key business programs.

Coordinates the change management, incident management, and problem management processes.

Presents reports and findings to key stakeholders and acts as the subject matter expert on Data Analysis & Design.

Drives implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed of delivery, and maximize value.

Contributes to community-building initiatives such as Centers of Excellence (Co E) and Communities of Practice (Co P).

With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years.

We are ISO accredited and proud of our excellent Trust Pilot Reviews.

Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment.

Please telephone for an immediate response or email your CV for a quick response.

Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.

Data Engineer : Tech Lead – Databricks in London employer: Eaglecliff Recruitment

Eaglecliff Recruitment is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Greater London. Employees benefit from extensive professional growth opportunities, competitive remuneration, and a supportive environment that values work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in project management.

Eaglecliff Recruitment

Contact Details:

Eaglecliff Recruitment Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Engineer : Tech Lead – Databricks in London

✨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 Eaglecliff Recruitment!

✨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 Data Engineer : Tech Lead – Databricks at Eaglecliff Recruitment.

✨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 Eaglecliff Recruitment.

✨Apply Directly through Our Website

When you find a suitable opening like Data Engineer : Tech Lead – Databricks at Eaglecliff Recruitment, 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 Data Engineer : Tech Lead – Databricks in London

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Pipeline Development

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.