At a Glance
- Tasks: Create innovative data engineering solutions and collaborate with teams to tackle exciting challenges.
- Company: Join Solirius Reply, a leading tech consultancy transforming businesses through technology.
- Benefits: Enjoy competitive salary, private healthcare, flexible working, and generous annual leave.
- Other info: Dynamic work environment with excellent training opportunities and career growth.
- Why this job: Make a real impact in the data engineering field while developing your skills.
- Qualifications: Experience in data engineering, cloud infrastructure, and strong coding skills required.
The predicted salary is between 49500 - 60500 £ per year.
Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.
Responsibilities:
- Develop Data Engineering solutions for our clients/projects
- Design and build data models, schemas to support business requirements
- Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.
- Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.
- Work collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities.
- Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.
- Assist with defining the processes needed to achieve operational excellence
- Ensure data quality across all projects/clients
- Define and manage SLA’s for data sets and processes throughout production
- Lead on the design, build and launch of new data models and pipelines
Requirements:
- Experience in operating as part of data engineering teams and independently.
- Line/Team management experience, leadership experience
- Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)
- SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)
- Framework experience within either Flask, Tornado or Django, Docker
- Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.
- Data acquisition and development of data sets and improving data quality
- Preparing data for predictive and prescriptive modelling
- Hands-on coding experience, such as Python
- Reporting tools (e.g. Tableau, PowerBI, Qlik)
- Passionate, motivated and enthusiastic about developing technology solutions.
- Experience working in an Agile development environment
- Data architecture experience.
Desirable:
- Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo;
- GDPR and Government Service Standard (desirable)
Conditions:
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Contributory Pension
- EAP with Membership Benefits
- Flexible Benefits Allowance
- Cycle to Work and Electric Vehicle schemes
- Flexible Working
- Annual Away Days/Company Socials
Data engineer for machine learning in London employer: Solirius Reply
Solirius Reply is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Senior Ruby Backend Engineers looking to make a meaningful impact. With flexible working arrangements and a focus on employee growth through continuous learning and development, you will thrive in a modern tech consultancy environment that values your contributions to high-performance services and scalable APIs.
StudySmarter Expert Advice🤫
We think this is how you could land Data engineer for machine learning 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 Solirius Reply!
✨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 for machine learning at Solirius Reply.
✨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 Solirius Reply.
✨Apply Directly through Our Website
When you find a suitable opening like Data engineer for machine learning at Solirius Reply, 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 for machine learning 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 Solirius Reply, 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 Solirius Reply. 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 Solirius Reply
✨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 Solirius Reply!
✨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.
