At a Glance
- Tasks: Design and develop scalable data solutions while improving processes and data flows.
- Company: Join a growing tech company that values your ideas and input.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous improvement.
- Why this job: Make a real impact by solving data challenges and optimising workflows.
- Qualifications: Experience in data engineering, strong SQL skills, and a proactive mindset.
The predicted salary is between 60750 - 74250 £ per year.
Are you a Data Engineer who enjoys solving real problems, improving clunky processes and having a genuine voice in how things are built? My Client is growing its data function and is looking for a Data Engineer to join a small, collaborative team where your ideas, judgement and technical input will be valued. This is a role for someone who does not just want to pick up tickets and move on, but who wants to understand the bigger picture, challenge where needed, and help shape better ways of working.
You will be involved in building, maintaining and improving data flows, integrations, ETL processes and data solutions that support important operational reporting, automation and decision-making across the organisation.
As Data Engineer, you will design, develop and support reliable, secure and scalable data engineering solutions. This will include working with ETL and ELT processes, SQL databases, data models, APIs and integrations, while ensuring that data is accurate, performant and available when needed. The role will involve a mix of project delivery, continuous improvement and operational support. Some of the work will focus on standard break-fix activity across ETL and data flows, while other areas will involve mobilising new services, integrating new data sources, improving existing processes and making data movement more efficient.
This is a hybrid role with a stronger office presence, typically three days per week from a regional office location. Specific location details will be discussed with suitable applicants during the recruitment process.
Your Role
In this role, you will work closely with the Lead Data Engineer, wider data colleagues and stakeholders to translate data requirements into practical, robust technical solutions. You will design and maintain ETL and ELT processes, develop scalable data integrations, support database and data warehouse development, and help ensure that data solutions are secure, reliable and easy to maintain. You will also play an important part in improving how things are done. This could mean identifying manual or inefficient processes, suggesting better approaches, optimising existing data flows, improving SQL performance, strengthening documentation or contributing to technical standards.
My Client is particularly interested in someone who is comfortable engaging with stakeholders, asking the right questions and constructively pushing back when a better solution is needed. You will not be expected to know every tool from day one, but you should bring a strong technical foundation, a proactive attitude and the confidence to learn new systems and contribute quickly. Integration work will be a key part of the role, so experience with SQL Server Integration Services, APIs, data exchange processes or similar integration tools would be highly valuable.
About You
You will have solid experience in a data engineering environment, with strong SQL development skills and hands-on experience designing, developing and supporting ETL or ELT solutions. You will be comfortable working with data from multiple source systems and able to troubleshoot complex data issues, optimise performance and build solutions that are scalable and maintainable. Just as importantly, you will bring the right mindset. My Client is looking for someone who takes ownership, stays calm when things need fixing, and approaches challenges with a positive, solutions-focused attitude. You will be someone who can work well in a small technical team, communicate clearly with non-technical stakeholders and contribute ideas that help the team improve. This role would suit a Data Engineer who wants to be more than a cog in a machine and is ready to make a visible impact.
- Strong experience in data engineering, ETL, ELT or data integration
- Advanced SQL development skills, including stored procedures, views and functions
- Experience with SQL Server Integration Services or similar integration tools
- Confident troubleshooting broken data flows, failed processes and performance issues
- Able to design and maintain scalable, secure and reliable data solutions
Data Engineer (Hybrid) employer: Black & White Recruitment
At Black & White Recruitment, we pride ourselves on being an excellent employer that fosters a supportive and dynamic work culture. Our Greater London location offers the perfect blend of professional growth opportunities, including mentoring roles for experienced solicitors, alongside the flexibility of hybrid working arrangements and a competitive salary package, making it an ideal environment for those seeking meaningful and rewarding employment in family law.
Contact Details:
Black & White Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Hybrid)
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We think you need these skills to ace Data Engineer (Hybrid)
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 Black & White 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 Black & White 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 Black & White 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 Black & White 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.
