Database Designer / Senior Data Engineer

About Us

VE3 is at the forefront of delivering cloud‑native data solutions to premier clients across finance, retail and healthcare. As a rapidly growing UK‑based consultancy, we pride ourselves on fostering a collaborative, inclusive environment where every voice is heard—and every idea can become tomorrow’s breakthrough.

Role: Database Designer / Senior Data Engineer

What You’ll Do

1. Architect & Design

• Lead the design of modern, scalable data platforms on AWS and/or Azure, using best practices for security, cost‑optimisation and performance.
• Develop detailed data models (conceptual, logical, physical) and document data dictionaries and lineage.

1. Build & Optimize

• Implement robust ETL/ELT pipelines using Python, SQL, Scala (as appropriate), leveraging services such as AWS Glue, Azure Data Factory, and open‑source frameworks (Spark, Airflow).
• Tune data stores (RDS, SQL Data Warehouse, NoSQL like Redis) for throughput, concurrency and cost.
• Establish real‑time data streaming solutions via AWS Kinesis, Azure Event Hubs or Kafka.

1. Collaborate & Deliver

• Work closely with data analysts, BI teams and stakeholders to translate business requirements into data solutions and dashboards.
• Partner with DevOps/Cloud Ops to automate CI/CD for data code and infrastructure (Terraform, CloudFormation).

1. Governance & Quality

• Define and enforce data governance, security and compliance standards (GDPR, ISO27001).
• Implement monitoring, alerting and data quality frameworks (Great Expectations, AWS CloudWatch).

1. Mentor & Innovate

• Act as a technical mentor for junior engineers; run brown‑bag sessions on new cloud services or data‑engineering patterns.
• Proactively research emerging big‑data and streaming technologies to keep our toolset cutting‑edge.

Who You Are

• Academic Background: Bachelor’s (or higher) in Computer Science, Engineering, IT or similar.
• Experience: ≥3 years in a hands‑on Database Designer / Data Engineer role, ideally within a cloud environment.
• Technical Skills:
• Languages: Expert in SQL; strong Python or Scala proficiency.
• Cloud Services: At least one of AWS (Glue, S3, Kinesis, RDS) or Azure (Data Factory, Data Lake Storage, SQL Database).
• Data Modelling: Solid understanding of OLTP vs OLAP, star/snowflake schemas, normalization & denormalization trade‑offs.
• Pipeline Tools: Familiarity with Apache Spark, Kafka, Airflow or equivalent.
• Soft Skills:
• Excellent communicator—able to present complex technical designs in clear, non‑technical terms.
• Strong analytical mindset; thrives on solving performance bottlenecks and scaling challenges.
• Team player—collaborative attitude in agile/scrum settings.

Nice to Have

• Certifications: AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate/Expert.
• Exposure to data‑science workflows (Jupyter, ML pipelines).
• Experience with containerized workloads (Docker, Kubernetes) for data processing.
• Familiarity with DataOps practices and tools (dbt, Great Expectations, Terraform).

Our Commitment to Diversity

We’re an equal‑opportunity employer committed to inclusive hiring. All qualified applicants—regardless of ethnicity, gender identity, sexual orientation, neurodiversity, disability status or veteran status—are encouraged to apply.