At a Glance
- Tasks: Join our Data Team to develop and enhance our cutting-edge Data Platform.
- Company: Dains, a forward-thinking company prioritising growth and collaboration.
- Benefits: Flexible working, 25 days leave, competitive salary, and professional development opportunities.
- Other info: Vibrant culture with social events and community initiatives.
- Why this job: Make an impact in data engineering while advancing your skills in a dynamic environment.
- Qualifications: Experience in data engineering, ETL/ELT pipelines, and strong SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a Data Engineer to join the Data Team and play a key role in the development, operation, and evolution of the Group's Data Platform. This role will be responsible for integrating new data sources into the DataCube platform, developing and supporting data pipelines, delivering new data engineering solutions, and contributing to the ongoing development of the Group's cloud data architecture. The successful candidate will work across a wide range of initiatives, from acquisition integrations and system implementations to platform enhancements that support reporting, analytics, automation, and AI.
Key Responsibilities
- Data Integration & Platform Development
- Lead the integration of new data sources into the DataCube platform, including acquisitions, business applications, and strategic technology platforms.
- Analyse source systems and design scalable data ingestion approaches.
- Develop mapping, transformation, and validation logic to standardise data across the Group.
- Work with business stakeholders, IT teams, software vendors, and third-party suppliers to deliver integration projects.
- Support the migration of legacy reporting and data processes onto the Group data platform.
- Design and implement reusable integration frameworks to accelerate future onboarding of systems and entities.
- Data Pipeline Development & Support
- Develop, enhance, and maintain data pipelines across the data platform.
- Build and optimise ETL/ELT processes for new and existing data sources.
- Troubleshoot and resolve pipeline failures and data quality issues.
- Implement monitoring and alerting to ensure reliable and timely data delivery.
- Perform root cause analysis on integration or data issues.
- Platform Operations
- Monitor the daily operation of the data platform.
- Ensure data refreshes complete within agreed service levels.
- Maintain documentation for pipelines, integrations, and operational procedures.
- Support deployment and release activities across development and production environments.
- Work closely with infrastructure and IT teams on platform performance and security.
- Data Architecture & Engineering
- Contribute to the ongoing development of the Group's Azure-based data architecture.
- Support implementation of scalable and reusable data engineering standards.
- Design efficient data models and transformation frameworks.
- Identify opportunities to improve performance, reliability, and maintainability.
- Evaluate new technologies and tooling to support future platform requirements.
- Business & Project Support
- Collaborate with Data Analysts and business stakeholders to understand requirements.
- Support strategic projects involving acquisitions, system implementations, and business transformation.
- Translate business requirements into scalable technical solutions.
- Provide technical expertise on integration and architecture decisions.
Skills, Knowledge & Expertise
- Data Engineering: Proven experience in a Data Engineer role. Experience building and maintaining ETL/ELT pipelines. Strong understanding of data integration practices and data lifecycle management. Experience supporting production data platforms.
- Cloud Platforms: Experience with Microsoft Azure data technologies. Experience working with cloud-based data lakes or data warehouses.
- Databases & Programming: Advanced SQL skills. Experience working with large datasets. Python development experience for data engineering and automation. Experience with data modelling and transformation techniques.
- Data Platform Operations: Monitoring and troubleshooting data pipelines. Experience implementing data quality controls. Understanding of CI/CD and deployment practices. Root cause analysis and incident resolution experience.
- Stakeholder Management: Ability to communicate technical concepts to non-technical stakeholders. Strong problem-solving skills. Ability to manage multiple projects simultaneously.
- Desirable: Experience of Databricks, Fivetran and/or Microsoft Fabric. Experience within professional services, finance, or accounting environments. Knowledge of Power BI data models. Understanding of data governance best practices.
Join us to advance your expertise in a dynamic environment where growth and learning are prioritised and your ability to lead and collaborate is valued and nurtured.
Job Benefits
At Dains, we’re committed to helping our people build rewarding careers in an environment where they can learn, develop and succeed. From day one, you’ll be supported to grow your skills, broaden your experience and shape a career that reflects your ambitions. We offer ongoing professional development tailored to your role, strengths and future goals, supported by clear career pathways so you can see how you’ll progress. Alongside a competitive salary, our benefits package is designed to support your wellbeing and reward your contribution, including:
- Flexible and hybrid/smart working options
- 25 days’ annual leave plus bank holidays, increasing with service, with the option to buy or sell days
- Financial security through life assurance and a competitive pension scheme, with access to private medical insurance through both company-funded and self-funded options
- Greener travel options through our electric car scheme and cycle to work programme
- A vibrant social culture with regular team and firm-wide events
- Enhanced maternity and paternity pay to support you and your family through life’s important moments
- Annual reward and recognition awards, celebrating the achievements and contributions of our people
- Employee resource groups promoting inclusion and connection
- “Dains in the Community”, supporting charity, wellbeing and local initiatives
We want our people to feel supported, valued and able to do their best work, with benefits that help you thrive both professionally and personally.
Data Engineer in Birmingham employer: Dains
Dains is an exceptional employer that prioritises employee growth and work-life balance, offering flexible working arrangements and comprehensive training for the Accounts & Business Advisory Manager role in Birmingham. With a collaborative and innovative work culture, team members are encouraged to develop their skills while contributing to meaningful client relationships and strategic financial advice.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨Get Involved in Data Science Meetups
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✨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 at Dains.
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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 Dains.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Birmingham
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 Dains, 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 Dains. 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 Dains
✨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 Dains!
✨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.
