HubMub
-
Natobotics

Data Engineer Python and SQL ,numPy

Natobotics
Poland · Full-time · Entry
Job Overview

We are looking for an individual who has at least a basic to intermediate understanding of SQL, Python, Pandas, and NumPy. It would be a plus to have knowledge of advanced-level concepts, but it's not a strict requirement.

Key Responsibilities

  • Extract, transform, and analyze, manipulate, restructure data using SQL and Python
  • Clean, filter, transform, and reshape data using Pandas
  • Perform numerical computations and vectorized operations using NumPy
  • Create scripts to automate data loading and preprocessing tasks
  • Collaborate with team members to understand data needs and deliver insights
  • Prepare and present basic analytical reports or summaries

__________________________________________________________________________________

Core Skills – Must Have

=>SQL (Basic to Intermediate): SQL Skills

  • Core SQL Clauses — Must Know

Proficiency In Using

SELECT, WHERE, GROUP BY, ORDER BY, LIMIT/OFFSET, TOP, HAVING

  • Different types of Operators.
  • Joins — Very Important

Must Have Hands-on Knowledge Of

INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, should understand how improper join conditions can lead to duplicate data.

  • Functions — Must Know Built-in functions: Aggregate, Analytical, String, Date functions User Defined Functions (UDFs)
  • Filtering Techniques — Must Know

Use Of

BETWEEN, IN, LIKE, IS NULL

  • Subqueries & Common Table Expressions (CTEs) — Must Know
  • Window Functions — Preferred (Good to Have), should know how it can be used in analytical and aggregate functions. (Good to have)
  • Basic Schema Design — Must Know Understanding of: Tables and relationships, Primary and foreign keys, Data types

=>Python (Basic to Intermediate — Very Important):

  • Data types: lists, dictionaries, tuples, sets
  • Loops, list comprehensions, and conditional statements
  • Functions, lambda expressions, and exception handling
  • File I/O operations (working with CSV, Excel, JSON, and text files)
  • Basics of modular programming (importing custom Python files/modules)
  • Using virtual environments and package management (pip)
  • Familiarity with Jupyter notebooks and script-based workflows

=>Python's Pandas (Basic to Mid-Level-— Very Important):

  • Reading data from CSV, Excel, JSON, and databases
  • Creating, indexing, slicing, and filtering DataFrames
  • Applying groupby(), pivot(), pivot_table() for aggregation
  • Handling missing data: fillna(), dropna(), isnull()
  • Merging, joining, and concatenating DataFrames
  • Applying custom functions using apply() and lambda
  • Data type conversions and column renaming
  • Working with datetime fields and string operations
  • Writing data back to file or database

=>Python's NumPy (Basic to Mid-Level— Very Important):

  • Creating and reshaping arrays (reshape, flatten, transpose)
  • Element-wise operations and broadcasting
  • Indexing, slicing, and conditional selection
  • Aggregations: mean, sum, max, min, std
  • Random number generation (np.random)
  • Stack/split arrays (vstack, hstack, split)
  • Basic linear algebra: dot product, matrix multiplication (optional)

Last and most important concept- How to write, secure and optimized code, queries using Python and SQL.

Key Skills

Ranked by relevance

sql python pandas excel numpy
Login to Apply
🇵🇱

Country Guide

Poland

Fast-growing Central European IT hub

Posted
May 27, 2025
Type
Full-time
Level
Entry
Location
Cracow Metropolitan Area
Company
Natobotics

Industries

Hospitals Health Care Non-profit Organizations Government Administration

Categories

Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Client Server
Related

Data Scientist Python SQL

2026-06-18

Full-time
Mid-Senior
United Kingdom
Software Development
Engineering
View Job Details
Amana Living
Related

AI Developer

2026-06-15

Full-time
Not Applicable
Australia
Hospitals
Engineering
View Job Details
HammondCare
Related

UX Developer

2026-06-15

Full-time
Not Applicable
Australia
Hospitals
Information Technology