At a Glance
- Tasks: Design and implement scalable data platforms using AWS and Informatica.
- Company: UNITECH, a leader in IT consulting and resourcing services.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and excellence.
- Why this job: Join a dynamic team and work with cutting-edge technologies on impactful projects.
- Qualifications: Strong AWS, Python, and data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Company Description
UNITECH provides high-quality IT consulting and resourcing services to organizations seeking reliable technology expertise. The company focuses on delivering practical, scalable solutions that align with clients’ technical and business objectives. UNITECH partners with clients across industries to support digital transformation, cloud adoption, and data-driven decision-making. Professionals joining UNITECH can expect to work with modern technologies, diverse projects, and collaborative teams. The organization values technical excellence, professionalism, and a commitment to delivering measurable results.
Role Description
- Design and implement scalable enterprise data and archival platforms using AWS and Informatica.
- Build and maintain batch and near real-time data pipelines using AWS Glue, Lambda, PySpark, and IDMC services.
- Develop data ingestion, transformation, validation, and archival workflows.
- Lead technical architecture discussions and establish reusable engineering standards.
- Support large-scale enterprise data migration and archival initiatives.
- Improve platform reliability, scalability, observability, and operational support processes.
- Integrate structured and semi-structured data from multiple enterprise systems.
- Collaborate with infrastructure, security, network, DBA, and application teams.
- Drive automation and Infrastructure as Code practices using Terraform and CI/CD pipelines.
- Optimize data pipeline, storage, and query workload performance.
- Mentor engineering teams and influence best practices across delivery programs.
- Support governance, compliance, audit, retention, and data lifecycle management requirements.
- Define operational processes including monitoring, recovery, and support readiness.
Required Skills
- Cloud and Data Engineering
- Strong AWS experience (Glue, Lambda, S3, Athena, Step Functions, CloudWatch).
- Strong Python and PySpark development experience.
- Experience building scalable ETL and ELT pipelines.
- Strong SQL and data modeling skills.
- Experience with distributed data processing frameworks.
- Informatica IDMC
- Strong experience with Informatica Intelligent Data Management Cloud (IDMC).
- Experience with Cloud Data Integration, Mass Ingestion, Application Integration, Data Quality, and Cloud Data Governance.
- Experience designing and supporting enterprise archival and data retention solutions using IDMC.
- Experience integrating IDMC with AWS services and enterprise data platforms.
- Understanding of metadata management, lineage, and governance.
- Platform and DevOps
- Experience with CI/CD pipelines and automation.
- Infrastructure as Code using Terraform or similar tooling.
- Experience with Linux and shell scripting.
- Containerization and Kubernetes experience preferred.
- Monitoring and logging experience with tools such as Grafana, ELK, or CloudWatch.
- Leadership and Delivery
- Strong stakeholder management and communication skills.
- Experience leading technical delivery across multiple teams.
- Strong troubleshooting and problem-solving skills.
- Experience managing platform dependencies, operational risks, and delivery milestones.
- Ability to define engineering standards and improve delivery processes.
- Experience working in enterprise governance and controlled environments.
Preferred Experience:
- Enterprise archival and data retention platforms.
- Banking, healthcare, telecom, or other regulated industries.
- Data governance and compliance frameworks.
- Large-scale platform modernization initiatives.
- High-availability and disaster recovery environments.
- Supporting operational and production platforms.
Typical Technology Stack: AWS Glue, Lambda, S3, Athena, Step Functions, Python, PySpark, SQL, Informatica IDMC, Terraform, Airflow, Kubernetes, Linux.
Ideal Candidate Profile
- Ten or more years in data engineering and enterprise data platforms.
- Strong mix of architecture, hands-on engineering, and operational support.
- Experience designing scalable cloud-native data solutions.
- Proven experience delivering enterprise integration and archival solutions.
- Comfortable working in complex multi-team enterprise environments.
- Ownership mindset with strong focus on reliability, scalability, and delivery quality.
AWS Cloud & IDMC Data Engineer in Slough employer: Unitech
UNITECH is an exceptional employer that fosters a culture of innovation and collaboration, providing its employees with the opportunity to work on cutting-edge technologies in a dynamic environment. With a strong emphasis on professional development, team members can expect to grow their skills through diverse projects and mentorship, all while contributing to impactful digital transformation initiatives. Located in a vibrant area, UNITECH offers a supportive workplace that values technical excellence and encourages a commitment to delivering measurable results.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Cloud & IDMC Data Engineer in Slough
✨Get Involved in Data Science Meetups
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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 Unitech.
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We think you need these skills to ace AWS Cloud & IDMC Data Engineer in Slough
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 Unitech, 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 Unitech. 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 Unitech
✨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 Unitech!
✨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.
