Wave Mind
Wave Mind

Data Engineer

3 data engineers worth a look

Vetted on a call by a Wave consultant, not scraped. £100,000 to £110,000.

3 people£100,000 to £105,000 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
  • Leads four technical branches, data engineering, ML, BI and infrastructure, across a distributed team spanning four countries.
  • Built data architecture, ingestion and transformation across fintech, logistics and media over 7 plus years of dedicated data engineering.
  • Runs Kafka and Debezium change data capture into ClickHouse and BigQuery, orchestrated with Dagster and Airflow on GCP and AWS.
Stack

Python, SQL, Kafka, Debezium · Dagster, Airflow, dbt · ClickHouse, BigQuery · GCP, Kubernetes, Terraform

Track record

Six employers over 17 years, from data analysis and project management in media and consulting into data science, then data engineering leadership at a steel group and now a supply chain business. Average tenure 3 years 6 months, longest 9 years.

Worth knowing

All the leadership experience is with a distributed team outside the UK, so a UK-based team would be new ground. Notice is unusually short at 3 weeks.

Education

Masters in Supply Chain Management.

No obligation, and nothing owed unless someone starts.
Proof
  • Grew a data engineering team from 2 people to 6 as head of data engineering at a gaming business.
  • Delivers lakehouse platforms on Databricks and Snowflake with medallion architecture, Delta Live Tables and Azure Data Factory, currently for a UK water utility.
  • Reached solutions architect unusually early out of a graduate scheme and now scopes and delivers solutions directly with external customers.
Stack

Python, SQL, PySpark · Databricks, Snowflake, dbt, Delta Live Tables · Airflow, Fivetran · Terraform, AWS, Azure

Track record

Seven employers over 7 years, mostly consultancy, from a graduate scheme through solutions architect and managing consultant to head of data engineering at a gaming studio, then back into a principal consulting role. Average tenure 9 months, longest 1 year 8 months.

Worth knowing

Average tenure is 9 months and the longest stint is 20, which needs a proper explanation. Also wants the management title back, so an IC-only brief will not land.

Education

Masters in Electrical and Electronic Engineering with Management from a Russell Group university. AWS Solutions Architect Associate.

No obligation, and nothing owed unless someone starts.
Proof
  • Progressed from entry level to lead data engineer over 5 years at a large UK retailer, with a year of direct line management before a restructure.
  • Leads MLOps and DataOps practice including code reviews, standards and documentation, on Databricks, Spark and AWS.
  • Earlier career in data assurance at a global professional services firm of more than 350,000 people, and BI across casinos and enterprise software.
Stack

Python, SQL, Spark, FastAPI · Databricks, Spark Structured Streaming, Event Hubs · AWS, Azure, Redshift · Terraform, CI/CD

Track record

Seven employers over 18 years, from a government defence research organisation and an investment bank through consulting, BI and data engineering across casinos, enterprise software and cruise, now leading data engineering at a large UK retailer. Average tenure 2 years 10 months, longest 5 years 9 months.

Worth knowing

Wants the management title, not just the lead responsibilities, and is explicit about leaving retail behind. 1 month notice.

Education

Bachelors in Physics with Business and Management from a Russell Group university. Databricks certified Spark developer.

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.

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