Infoplus Technologies UK Limited
Database Administrator

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L3 Database Administration
Work Location
Glasgow
Role type
Contract Inside IR35
Mode of working
Hybrid 3 days/week
Duration of assignment
12 months
The Role
Database Administration of Greenplum/Postgres/Snowflake
Role 1: Snowflake DBA
Role 2: GP/PSG DBA (good to know Snowflake)
Your responsibilities:
- Extensive working knowledge on PostgreSQL, Snowflake, and Greenplum databases.
- Snowflake internals and integration with other data processing technologies.
- Data lakes, data structures, and data models suited to Snowflake architecture.
- Snowflake modeling – roles, schemas, and databases.
- Experience of building data ingestion pipelines with tools like Informatica, Talend, etc.
- Effective management of data from various sources like JSON, XML, CSV, etc.
- Expertise in Patroni for HADR and streaming replication.
- Strong knowledge of Postgres/Greenplum database backup and recovery strategies.
- Proven experience in performance tuning and optimization for Postgres/Snowflake and Greenplum.
- Develop and maintain backup strategies to ensure data integrity and availability.
- Manage day-to-day activities such as database provisioning, maintenance, and upgrades in Postgres.
- Perform data migrations using gpcopy and other tools, minimizing downtime and data loss.
- Manage database bloat and leverage statistics for performance optimization.
- Understand and utilize GPTEXT for troubleshooting complex issues.
- Leverage Greenplum utilities like gpload, pxf, and GP spark for efficient data loading and integration.
- Ensure database security, compliance, and adherence to best practices.
- Knowledge about ETL processes and its implementation.
- Knowledge of SQL and complex query writing.
- Implement monitoring solutions to proactively identify and resolve issues.
- Develop scripts in shell/Python/Ansible to automate routine database tasks and improve operational efficiency.
- Cloud computing experience with AWS, Microsoft Azure, Google Cloud.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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Essential skills/knowledge/experience:


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- Extensive working knowledge (DB Administration) on PostgreSQL, Snowflake, and Greenplum databases.
- For Postgres – Database provisioning, maintenance, and upgrades.
- For Greenplum –
- Data Migrations using gpcopy
- Performance optimization leveraging Statistics
- Manage DB bloat, Understand and utilize GPTEXT for troubleshooting complex issues
- Experience in Greenplum utilities like gpload, pxf, and GP spark for efficient data loading and integration.
- For Snowflake –
- Data lakes, data structures, and data models suited to Snowflake architecture.
- Snowflake modeling – roles, schemas, and databases
- SQL and complex query writing
- Expertise in Shell/Python/Ansible scripting knowledge
- Expertise in Patroni for HADR and streaming replication.
Desirable skills/knowledge/experience:
- ETL processes and its implementation.
- Building data ingestion pipelines with tools like Informatica, Talend, etc.
- Cloud computing experience with AWS, Microsoft Azure, Google Cloud.
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