Wave Mind
Wave Mind

Data Engineer

3 data engineers worth a look

Vetted on a call by a Wave consultant, not scraped. £85,000 to £100,000.

3 people£85,000 to £92,500 asking
Names held back until you askSame working day replyWell under agency feesOnly if you hire
Each one has what they build, what they want and how they came across. Open a card for the evidence, or tick the ones worth a conversation and send them together.
Proof
  • 10 plus years of production Python building data ingestion and ETL/ELT systems, including 4 and a half years of data engineering inside a bank of more than 200,000 people.
  • Productionised ML models and LLM RAG services with embeddings, document ingestion and semantic search on AWS Bedrock and OpenSearch.
  • Built holdings, benchmark and P/L analytics across equities, FX and futures, plus power trading analytics for the Spanish energy market.
Stack

Python, FastAPI, SQLAlchemy, PostgreSQL · Airflow, Pandas · AWS ECS, Lambda, Step Functions, Terraform · OpenSearch, Bedrock

Track record

Five employers over 13 years, from Spanish energy market analytics and FX data science into 4 and a half years of data engineering at a global bank, then a fund analytics business and a digital asset management SaaS platform. Average tenure 2 years 2 months, longest 4 years 2 months.

Worth knowing

Available immediately, so a slow process will lose them. The last role ended in voluntary redundancy during a consultation, which is worth hearing about first-hand.

Education

Masters in Artificial Intelligence.

No obligation, and nothing owed unless someone starts.
Proof
  • Leads a 2-person data platform and reliability team, splitting 75% hands-on engineering and 25% management.
  • Reduced infrastructure costs by up to 87% and built real-time ingestion on Kinesis, Flink and Kafka into Iceberg and Delta Lake.
  • 6 years of fintech data engineering supporting credit risk, payments and financial decisioning at high volume.
Stack

Python, SQL, PySpark, dbt · Kafka, Kinesis, Flink, Spark · Iceberg, Delta Lake, Redshift, BigQuery

Track record

Six employers over 8 years, from a data science internship and travel technology in India through a data preparation platform and a neobank into gaming in the north east. Average tenure 1 year 11 months, longest 3 years 1 month.

Worth knowing

Needs visa sponsorship, which is the first thing to check. Based in Newcastle and willing to move to London, but that relocation has to be factored in.

Education

Masters in Advanced Computer Science from a Russell Group university.

No obligation, and nothing owed unless someone starts.
Proof
  • Owned data architecture, scaling and AI-integrated dashboarding at a games studio, having built platforms from scratch at three employers.
  • Managed 8 engineers and 3 analysts across the AMETA region at a global facilities and food services group of more than 400,000 people.
  • Builds across Snowflake, dbt and dbt Fusion, Redshift, Azure Data Factory, Databricks and Data Vault 2.0.
Stack

Python, SQL, PySpark · Snowflake, dbt, Redshift, Databricks · AWS Glue, Azure Data Factory, Kafka · Data Vault 2.0, CI/CD

Track record

6 employers over 7 years, from an ETL automation software vendor into facilities management, commodities trading and games. Average tenure 1 year 8 months, longest stint 3 years 10 months.

Worth knowing

Needs skilled worker sponsorship and won't take contract work. Two layoffs in a row mean they will move quickly for a stable offer, so don't be slow.

Education

Bachelors in computer applications.

No obligation, and nothing owed unless someone starts.

None of these quite right?

Tell me which came closest and I recalibrate, then come back with 10 to 15 more inside 24 hours.

Show me the wider bank

How the next bit goes

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