**Functionn is a sourcing partner of DKatalis**
Should you decide to apply for the below opportunity then the following process will apply:
Step 1: We will review your profile and if your experience is relevant we will arrange a introductory call to discuss your experience and the opportunity in more detail
Step 2: Should this introductory call go well then we will send your CV directly to the key decision-makers at DKatalis. There is no need to worry "if" your CV will be seen or reviewed. We guarantee that your CV will get in front of the right people. Quickly
Step 3: Should DKatalis feel that your skills and experience are relevant then they will reach out to you directly to start the interview process
It goes without saying that if you apply for this opportunity, but we feel you don't have the required skills / experience, then you will still receive a response from us explaining why we won't be arranging an introductory call
DKatalis are seeking an experienced data engineer to lead our data engineering chapter for data solutions. The data solutions teams build data pipelines to ingest and surface both batch and streaming data on GCP to support our team of data analysts, data scientists and various business stakeholders such as product engineering, growth, customer engagement, fraud, risk and compliance.
The data engineering lead role will be responsible for ensuring alignment between data engineers across the various teams with respect to ensuring
best practices are defined and adopted
standardisation of tooling and processes where required
collaborating with data security team members to ensure the data solutions implement security best practices
continuous innovation happens
professional development is baked into the team’s way of working
data quality, data privacy, data discoverability, data lineage, consistency of data definitions and other data governance concerns are well understood and given priority when developing solutions.
assisting in growing the team in terms of quality and quantity
The data chapter lead will coordinate across the various data solutions teams’ engineering team leads as well as the data engineers within the teams themselves.
The candidate should have at least 7+ years experience, preferably 10 or more years though with at least 3 years leading a team.
Candidates should have experience across the following systems and languages:
Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
Cloud data warehouses such as BigQuery, Redshift or Snowflake
Knowledge of pub/sub systems such as Kafka
Data parallel processing frameworks like Spark or Flink on batch and streaming data
Workflow scheduler such as Apache Airflow
Experience programming in Scala and Python
Proficient in SQL
Comfortable writing detailed design documents
Working proficiency with Kubernetes
A solid understanding of the retail banking domain is desirable, but not required.