Job Description
A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com EDB is seeking a Consultant/Senior Consultant to join our Professional Services team in EMEA. This is a dual-level role: candidates with 2–5 years of relevant experience will be considered at Consultant level, while those with 5–8+ years of DBA or data engineering experience will be considered at Senior Consultant level. This is a customer-facing, technically hands-on role spanning two core disciplines: Postgres database consulting (migrations, HA/DR, performance tuning, DBA advisory) and modern data engineering (data pipelines, analytics platforms, AI/ML integration). The ideal candidate brings strength in one discipline and credible working knowledge of the other — enabling them to serve EDB's expanding EMEA customer base across traditional enterprise database workloads and next-generation AI and analytics use cases. Assess existing customer deployments of Postgres and associated tools; develop recommendations and document required technical steps in clear runbooks. Perform database migrations from Oracle, SQL Server and/or MySQL to PostgreSQL — schema conversion, data migration, PL/SQL remediation. Design, implement and test High Availability configurations using PostgreSQL: EFM, Patroni and PGD (Active/Active) architectures. Perform performance tuning for existing database deployments: queries, database configuration and OS-level optimisation. Implement backup and recovery strategies (Barman, WAL archiving, PITR); perform upgrades and patching. Evaluate customer security requirements and make recommendations covering authentication, encryption and access control. Work with customers to upgrade applications to the latest version of Postgres and configure them to take advantage of new features. Develop Professional Services proposals that address customer needs and targets; contribute to the PS pre-sales process. Partner with clients to implement scalable data engineering pipelines, data models, data warehouses and analytics platforms from inception to deployment. Set up and configure underlying data infrastructure — storage, compute clusters, cloud data warehouses (Snowflake, BigQuery, Databricks) — and identify performance tuning opportunities. Develop advanced analytics models, dashboards and reporting frameworks that provide actionable business intelligence to client stakeholders. Assist clients in integrating AI/ML capabilities, LLMs, RAG pipelines and predictive analytics into their existing data ecosystems and EDB Postgres AI platform. Ensure high data quality, governance, security and performance optimisation across all client deliverables. Strong written and verbal English communication skills — required at professional level. A second European language is a significant advantage. Italian is particularly valued for current EMEA customer engagements; Spanish is also a strong asset. What you will bring... Consultant level: 2–5 years of experience in Data Engineering, Data Analytics, database consulting or a data-focused technical role. Senior Consultant level: 5–8+ years of DBA-level experience with Postgres or Oracle, with at least 2 years in a professional consulting organisation or equivalent. Bachelor's or Master's degree in Computer Science, Computer Engineering, IT/Data Science or equivalent practical experience. Proficiency in PostgreSQL — including administration, performance tuning, HA configuration and replication. Experience with Oracle and/or SQL Server — particularly for migration source environments. Strong SQL skills; familiarity with database design, application concepts and schema management for PostgreSQL and Oracle. Linux system administration skills (Ubuntu, CentOS, Red Hat, Debian), including scripting (Bash, Python or equivalent). Hands-on experience with at least one major cloud provider (AWS, Azure or GCP) and core modern data stack tools (e.g. Snowflake, Databricks, BigQuery, dbt). Strong proficiency in Python or Scala, and advanced SQL. Experience building batch and/or real-time data pipelines. Solid understanding of data warehousing concepts, data modelling (Star/Snowflake schema) an
